The Radial Basis Functions Neural Network （RBFNN） is used to establish the model of a response system through the input and output data of the system. The synchronization between a drive system and the response syst...The Radial Basis Functions Neural Network （RBFNN） is used to establish the model of a response system through the input and output data of the system. The synchronization between a drive system and the response system can be implemented by employing the RBFNN model and state feedback control. In this case, the exact mathematical model, which is the precondition for the conventional method, is unnecessary for implementing synchronization. The effect of the model error is investigated and a corresponding theorem is developed. The effect of the parameter perturbations and the measurement noise is investigated through simulations. The simulation results under different conditions show the effectiveness of the method.展开更多
In this paper, adaptive identification and control of nonlinear dynamical systems are investigated using radial basis function networks (RBF). Firstly, a novel approach to train the RBF is introduced, which employs an...In this paper, adaptive identification and control of nonlinear dynamical systems are investigated using radial basis function networks (RBF). Firstly, a novel approach to train the RBF is introduced, which employs an adaptive fuzzy generalized learning vector quantization (AFGLVQ) technique and recursive least squares algorithm with variable forgetting factor (VRLS). The AFGLVQ adjusts the centers of the RBF while the VRLS updates the connection weights of the network. The identification algorithm has the properties of rapid convergence and persistent adaptability that make it suitable for real-time control. Secondly, on the basis of the one-step ahead RBF predictor, the control law is optimized iteratively through a numerical stable Davidon's least squares-based (SDLS) minimization approach. Four nonlinear examples are simulated to demonstrate the effectiveness of the identification and control algorithms.展开更多
A full-wave analysis of the electromagnetic problem of a three-dimensional （3-D） antenna radiating through a 3-D dielectric radome is preserued. The problem is formulated using the Poggio-Miller-Chang-Harrington- Wu...A full-wave analysis of the electromagnetic problem of a three-dimensional （3-D） antenna radiating through a 3-D dielectric radome is preserued. The problem is formulated using the Poggio-Miller-Chang-Harrington- Wu（PMCHW） approach for homogeneous dielectric objects and the electric field integral equation for conducting objects. The integral equations are discretized by the method of moment （MoM）, in which the conducting and dielectric surface/interfaces are represented by curvilinear triangular patches and the unknown equivalent electric and magnetic currents are expanded using curvilinear RWG basis functions. The resultant matrix equation is then solved by the multilevel fast multipole algorithm （MLFMA） and fast far-field approximation （FAFFA） is used to further accelerate the computation. The radiation patterns of dipole arrays in the presence of radomes are presented. The numerical results demonstrate the accuracy and versatility of this method.展开更多
The brief arts and crafts of the ordinary fourdrinier are introduced first. After the intractable points of paper basis weight (BW) control are analyzed, an autotuning PID/PI control algorithm based on relay feedback ...The brief arts and crafts of the ordinary fourdrinier are introduced first. After the intractable points of paper basis weight (BW) control are analyzed, an autotuning PID/PI control algorithm based on relay feedback identification is proposed, which has such advantages as simple parameter adjustment, little dependence on process model, strong robustness and easiness to implementation. And it is very suitable for controlling such processes as BW loop with large time delay.展开更多
An adaptive integral dynamic surface control approach based on fully tuned radial basis function neural network （FTRBFNN） is presented for a general class of strict-feedback nonlinear systems,which may possess a wid...An adaptive integral dynamic surface control approach based on fully tuned radial basis function neural network （FTRBFNN） is presented for a general class of strict-feedback nonlinear systems,which may possess a wide class of uncertainties that are not linearly parameterized and do not have any prior knowledge of the bounding functions.FTRBFNN is employed to approximate the uncertainty online,and a systematic framework for adaptive controller design is given by dynamic surface control. The control algorithm has two outstanding features,namely,the neural network regulates the weights,width and center of Gaussian function simultaneously,which ensures the control system has perfect ability of restraining different unknown uncertainties and the integral term of tracking error introduced in the control law can eliminate the static error of the closed loop system effectively. As a result,high control precision can be achieved.All signals in the closed loop system can be guaranteed bounded by Lyapunov approach.Finally,simulation results demonstrate the validity of the control approach.展开更多
The method of determining the structures and parameters of radial basis function neural networks(RBFNNs) using improved genetic algorithms is proposed. Akaike′s information criterion (AIC) with generalization error t...The method of determining the structures and parameters of radial basis function neural networks(RBFNNs) using improved genetic algorithms is proposed. Akaike′s information criterion (AIC) with generalization error term is used as the best criterion of optimizing the structures and parameters of networks. It is shown from the simulation results that the method not only improves the approximation and generalization capability of RBFNNs ,but also obtain the optimal or suboptimal structures of networks.展开更多
OBJECTIVE To investigate the cerebralvasorelaxant material basis of Xiaoxuming decoction.METHODS According to the Xiaoxuming decoction herb sources,we retrieved the chemical structure from the literatures and the Chin...OBJECTIVE To investigate the cerebralvasorelaxant material basis of Xiaoxuming decoction.METHODS According to the Xiaoxuming decoction herb sources,we retrieved the chemical structure from the literatures and the Chinese Natural Product Database(http://pharmdata.ncmi.cn).By using microvessel tension system,we checked the vasorelaxanteffects of Xiaoxuming decoction anti-cerebral ischemia effective components group(XXMDECG)and the available composition compounds on pre-contracted basilar artery ring.RESULTS963 compoundsin the decoction,including 81Fangfeng,77 Mahuang,130 Shengjiang,31 Guizhi,91 Huangqin,127 Renshen,73 Chuanxiong,44 Shaoyao,39 Xingren,42 Fangji,62 Fuzi and 166 Gancao were collected.The five largest number classes of compounds in the decoction are volatile oil(32%),flavone(32%),alkaloid(13%),saponin(7%),polyphenol and organic acid(5%).XXMDECG at concentration from 1 to 400μg·mL-1can dilate the KCl(60 mmol·L-1)and ET-1(0.01μmol·L-1)pre-contracted rat basilar artery rings in a dose-dependent manner.There are 6 compounds with vasorelaxant ratio more than 50%at the concentration of 10μmol·L-1.CONCLUSION Xiaoxuming decoction contains abundant chemical structure.It has the material basis of multiple ingredients and multiple targets.The XXMDECG are able to dilate the rat basilar artery rings in a dose-dependent manner.The network interactions between varies of chemical compounds in Xiaoxuming decoction and the vasoconstriction associated targets result in the comprehensive regulation mechanisms of vascular function.展开更多
As wavelet basis in wavelet analysis is neither arbitrary nor unique,the same signal dealing with different wavelet bases will generate different results.Therefore,how to construct a wavelet basis suitable for the cha...As wavelet basis in wavelet analysis is neither arbitrary nor unique,the same signal dealing with different wavelet bases will generate different results.Therefore,how to construct a wavelet basis suitable for the characteristics of the analyzed signal and solve its algorithm and realization is a fundamental problem which perplexed many researchers.To solve these problems,in accordance with the basic features of the measured millisecond blast vibration signal,a new wavelet basis construction method based on the separation blast vibration signal is proposed,and the feasibility of this method is verified by comparing the practical effect of the newly constructed wavelet with other known wavelets in signal processing.展开更多
The machining precision not only depends on accurate mechanical structure but also depends on motion compensation method. If manufacturing precision of mechanical structure cannot be improved, the motion compensation ...The machining precision not only depends on accurate mechanical structure but also depends on motion compensation method. If manufacturing precision of mechanical structure cannot be improved, the motion compensation is a reasonable way to improve motion precision. A motion compensation method based on neural network of radial basis function(RBF) was presented in this paper. It utilized the infinite approximation advantage of RBF neural network to fit the motion error curve. The best hidden neural quantity was optimized by training the motion error data and calculating the total sum of squares. The best curve coefficient matrix was got and used to calculate motion compensation values. The experiments showed that the motion errors could be reduced obviously by utilizing the method in this paper.展开更多
For nonlinear feedback shift registers （NFSRs）, their greatest common subfamily may be not unique. Given two NFSRs, the authors only consider the case that their greatest common subfamily exists and is unique. If th...For nonlinear feedback shift registers （NFSRs）, their greatest common subfamily may be not unique. Given two NFSRs, the authors only consider the case that their greatest common subfamily exists and is unique. If the greatest common subfamily is exactly the set of all sequences which can be generated by both of them, the authors can determine it by Grobner basis theory. Otherwise, the authors can determine it under some conditions and partly solve the problem.展开更多
The bottle neck of advancement of soybean breeding inthe Northeast of China is the lack of genetic diversity of the parents used in cross breeding.In order to overcome this constrained condition,under the sponsorship ...The bottle neck of advancement of soybean breeding inthe Northeast of China is the lack of genetic diversity of the parents used in cross breeding.In order to overcome this constrained condition,under the sponsorship of China National Committe of Natural Science Fundation,a network project with the topic'Broadening and Improving of the Genetic Basis of the Northeast Soybeans'was established in 1990,and the Northeast Agricultural University was apointed to take charge of the project.The project included the following four items:Ⅰ.Breeding high yield and improved quality Northeast Soybeans,directed by Hcilongjiang Academy of Agricultural Science.Ⅱ.Development of new soybean gerplasms highly resistant to diseases epidemic in Northeast China directed by Northeast Agricultural university.Ⅲ.Exploitation of the potential of wild and semicultivated soybeans for broadening and improving the genetic basis of Northeast soybeans,directed by Jilin Academy of Agricultural Science.Ⅳ.Improving methods and technique for development of new soybean genetic resources,directed by Nanjing Agricultural University. Each item contained several research subjects conducted by research workers of different institutes of agricultural sciences.During the period 1991-1992,considerable promising new germplasms had been discovered or developed.The new germplasms not only possessed specific improved characters but also behaved with appropriate ecological types adapted to different conditions of Northeast.Among the numerous new germplasms developed,Gong Jio 8757-3 had a protein content of 49.41 %,100 seed weight 16-17 g,and acceptable agronomic characters,which was considered a very valuable new high protein content germplasm.Such developed new germplasms with enforced and improved genetic basis will be used primarily as parents in soybean cross breeding.展开更多
With the development of information technology,a large number of product quality data in the entire manufacturing process is accumulated,but it is not explored and used effectively.The traditional product quality pred...With the development of information technology,a large number of product quality data in the entire manufacturing process is accumulated,but it is not explored and used effectively.The traditional product quality prediction models have many disadvantages,such as high complexity and low accuracy.To overcome the above problems,we propose an optimized data equalization method to pre-process dataset and design a simple but effective product quality prediction model:radial basis function model optimized by the firefly algorithm with Levy flight mechanism(RBFFALM).First,the new data equalization method is introduced to pre-process the dataset,which reduces the dimension of the data,removes redundant features,and improves the data distribution.Then the RBFFALFM is used to predict product quality.Comprehensive expe riments conducted on real-world product quality datasets validate that the new model RBFFALFM combining with the new data pre-processing method outperforms other previous me thods on predicting product quality.展开更多
基金This project was supported in part by the Science Foundation of Shanxi Province (2003F028)China Postdoctoral Science Foundation (20060390318).
文摘The Radial Basis Functions Neural Network （RBFNN） is used to establish the model of a response system through the input and output data of the system. The synchronization between a drive system and the response system can be implemented by employing the RBFNN model and state feedback control. In this case, the exact mathematical model, which is the precondition for the conventional method, is unnecessary for implementing synchronization. The effect of the model error is investigated and a corresponding theorem is developed. The effect of the parameter perturbations and the measurement noise is investigated through simulations. The simulation results under different conditions show the effectiveness of the method.
文摘In this paper, adaptive identification and control of nonlinear dynamical systems are investigated using radial basis function networks (RBF). Firstly, a novel approach to train the RBF is introduced, which employs an adaptive fuzzy generalized learning vector quantization (AFGLVQ) technique and recursive least squares algorithm with variable forgetting factor (VRLS). The AFGLVQ adjusts the centers of the RBF while the VRLS updates the connection weights of the network. The identification algorithm has the properties of rapid convergence and persistent adaptability that make it suitable for real-time control. Secondly, on the basis of the one-step ahead RBF predictor, the control law is optimized iteratively through a numerical stable Davidon's least squares-based (SDLS) minimization approach. Four nonlinear examples are simulated to demonstrate the effectiveness of the identification and control algorithms.
基金the National Natural Science Foundation of China (60431010)
文摘A full-wave analysis of the electromagnetic problem of a three-dimensional （3-D） antenna radiating through a 3-D dielectric radome is preserued. The problem is formulated using the Poggio-Miller-Chang-Harrington- Wu（PMCHW） approach for homogeneous dielectric objects and the electric field integral equation for conducting objects. The integral equations are discretized by the method of moment （MoM）, in which the conducting and dielectric surface/interfaces are represented by curvilinear triangular patches and the unknown equivalent electric and magnetic currents are expanded using curvilinear RWG basis functions. The resultant matrix equation is then solved by the multilevel fast multipole algorithm （MLFMA） and fast far-field approximation （FAFFA） is used to further accelerate the computation. The radiation patterns of dipole arrays in the presence of radomes are presented. The numerical results demonstrate the accuracy and versatility of this method.
基金This project was supported by the National Key Project in the Ninth Fivc-Year Plan(97-619-02-03).
文摘The brief arts and crafts of the ordinary fourdrinier are introduced first. After the intractable points of paper basis weight (BW) control are analyzed, an autotuning PID/PI control algorithm based on relay feedback identification is proposed, which has such advantages as simple parameter adjustment, little dependence on process model, strong robustness and easiness to implementation. And it is very suitable for controlling such processes as BW loop with large time delay.
基金supported by the China Postdoctoral Science Foundation (200904501035 201003548)+3 种基金the National Natural Science Foundation of China (60835001907160289101600460804017)
文摘An adaptive integral dynamic surface control approach based on fully tuned radial basis function neural network （FTRBFNN） is presented for a general class of strict-feedback nonlinear systems,which may possess a wide class of uncertainties that are not linearly parameterized and do not have any prior knowledge of the bounding functions.FTRBFNN is employed to approximate the uncertainty online,and a systematic framework for adaptive controller design is given by dynamic surface control. The control algorithm has two outstanding features,namely,the neural network regulates the weights,width and center of Gaussian function simultaneously,which ensures the control system has perfect ability of restraining different unknown uncertainties and the integral term of tracking error introduced in the control law can eliminate the static error of the closed loop system effectively. As a result,high control precision can be achieved.All signals in the closed loop system can be guaranteed bounded by Lyapunov approach.Finally,simulation results demonstrate the validity of the control approach.
文摘The method of determining the structures and parameters of radial basis function neural networks(RBFNNs) using improved genetic algorithms is proposed. Akaike′s information criterion (AIC) with generalization error term is used as the best criterion of optimizing the structures and parameters of networks. It is shown from the simulation results that the method not only improves the approximation and generalization capability of RBFNNs ,but also obtain the optimal or suboptimal structures of networks.
基金The project supported by Major Scientific and Technological Special Project for "Significant New Drug Creation"(2013ZX09508104,2013ZX09402203)by Central Public Scientific Research Institution Fundamental Project(2014CX05)
文摘OBJECTIVE To investigate the cerebralvasorelaxant material basis of Xiaoxuming decoction.METHODS According to the Xiaoxuming decoction herb sources,we retrieved the chemical structure from the literatures and the Chinese Natural Product Database(http://pharmdata.ncmi.cn).By using microvessel tension system,we checked the vasorelaxanteffects of Xiaoxuming decoction anti-cerebral ischemia effective components group(XXMDECG)and the available composition compounds on pre-contracted basilar artery ring.RESULTS963 compoundsin the decoction,including 81Fangfeng,77 Mahuang,130 Shengjiang,31 Guizhi,91 Huangqin,127 Renshen,73 Chuanxiong,44 Shaoyao,39 Xingren,42 Fangji,62 Fuzi and 166 Gancao were collected.The five largest number classes of compounds in the decoction are volatile oil(32%),flavone(32%),alkaloid(13%),saponin(7%),polyphenol and organic acid(5%).XXMDECG at concentration from 1 to 400μg·mL-1can dilate the KCl(60 mmol·L-1)and ET-1(0.01μmol·L-1)pre-contracted rat basilar artery rings in a dose-dependent manner.There are 6 compounds with vasorelaxant ratio more than 50%at the concentration of 10μmol·L-1.CONCLUSION Xiaoxuming decoction contains abundant chemical structure.It has the material basis of multiple ingredients and multiple targets.The XXMDECG are able to dilate the rat basilar artery rings in a dose-dependent manner.The network interactions between varies of chemical compounds in Xiaoxuming decoction and the vasoconstriction associated targets result in the comprehensive regulation mechanisms of vascular function.
基金Projects(51078043,51278071,51308072)supported by the National Natural Science Foundation of China
文摘As wavelet basis in wavelet analysis is neither arbitrary nor unique,the same signal dealing with different wavelet bases will generate different results.Therefore,how to construct a wavelet basis suitable for the characteristics of the analyzed signal and solve its algorithm and realization is a fundamental problem which perplexed many researchers.To solve these problems,in accordance with the basic features of the measured millisecond blast vibration signal,a new wavelet basis construction method based on the separation blast vibration signal is proposed,and the feasibility of this method is verified by comparing the practical effect of the newly constructed wavelet with other known wavelets in signal processing.
基金supported by the Project of National Natural Science Foundation of China(51275052)the Project of Science and Technique Development Plan of Beijing Municipal Commission of Education(KM201311232022)
文摘The machining precision not only depends on accurate mechanical structure but also depends on motion compensation method. If manufacturing precision of mechanical structure cannot be improved, the motion compensation is a reasonable way to improve motion precision. A motion compensation method based on neural network of radial basis function(RBF) was presented in this paper. It utilized the infinite approximation advantage of RBF neural network to fit the motion error curve. The best hidden neural quantity was optimized by training the motion error data and calculating the total sum of squares. The best curve coefficient matrix was got and used to calculate motion compensation values. The experiments showed that the motion errors could be reduced obviously by utilizing the method in this paper.
基金supported by the Natural Science Foundation of China under Grant Nos.61272042,61100202and 61170235
文摘For nonlinear feedback shift registers （NFSRs）, their greatest common subfamily may be not unique. Given two NFSRs, the authors only consider the case that their greatest common subfamily exists and is unique. If the greatest common subfamily is exactly the set of all sequences which can be generated by both of them, the authors can determine it by Grobner basis theory. Otherwise, the authors can determine it under some conditions and partly solve the problem.
文摘The bottle neck of advancement of soybean breeding inthe Northeast of China is the lack of genetic diversity of the parents used in cross breeding.In order to overcome this constrained condition,under the sponsorship of China National Committe of Natural Science Fundation,a network project with the topic'Broadening and Improving of the Genetic Basis of the Northeast Soybeans'was established in 1990,and the Northeast Agricultural University was apointed to take charge of the project.The project included the following four items:Ⅰ.Breeding high yield and improved quality Northeast Soybeans,directed by Hcilongjiang Academy of Agricultural Science.Ⅱ.Development of new soybean gerplasms highly resistant to diseases epidemic in Northeast China directed by Northeast Agricultural university.Ⅲ.Exploitation of the potential of wild and semicultivated soybeans for broadening and improving the genetic basis of Northeast soybeans,directed by Jilin Academy of Agricultural Science.Ⅳ.Improving methods and technique for development of new soybean genetic resources,directed by Nanjing Agricultural University. Each item contained several research subjects conducted by research workers of different institutes of agricultural sciences.During the period 1991-1992,considerable promising new germplasms had been discovered or developed.The new germplasms not only possessed specific improved characters but also behaved with appropriate ecological types adapted to different conditions of Northeast.Among the numerous new germplasms developed,Gong Jio 8757-3 had a protein content of 49.41 %,100 seed weight 16-17 g,and acceptable agronomic characters,which was considered a very valuable new high protein content germplasm.Such developed new germplasms with enforced and improved genetic basis will be used primarily as parents in soybean cross breeding.
基金supported by the National Science and Technology Innovation 2030 Next-Generation Artifical Intelligence Major Project(2018AAA0101801)the National Natural Science Foundation of China(72271188)。
文摘With the development of information technology,a large number of product quality data in the entire manufacturing process is accumulated,but it is not explored and used effectively.The traditional product quality prediction models have many disadvantages,such as high complexity and low accuracy.To overcome the above problems,we propose an optimized data equalization method to pre-process dataset and design a simple but effective product quality prediction model:radial basis function model optimized by the firefly algorithm with Levy flight mechanism(RBFFALM).First,the new data equalization method is introduced to pre-process the dataset,which reduces the dimension of the data,removes redundant features,and improves the data distribution.Then the RBFFALFM is used to predict product quality.Comprehensive expe riments conducted on real-world product quality datasets validate that the new model RBFFALFM combining with the new data pre-processing method outperforms other previous me thods on predicting product quality.
