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VIRTUAL TARGET DIFFERENTIAL GAME MIDCOURSE GUIDANCE LAW FOR HYPERSONIC CRUISE MISSILE BASED ON NEURAL NETWORK 被引量:2
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作者 桑保华 姜长生 《Transactions of Nanjing University of Aeronautics and Astronautics》 EI 2008年第2期121-127,共7页
For the high altitude cruising flight phase of a hypersonic cruise missile (HCM), a relative motion mod- el between the missile and the target is established by defining virtual target and combining the theory of th... For the high altitude cruising flight phase of a hypersonic cruise missile (HCM), a relative motion mod- el between the missile and the target is established by defining virtual target and combining the theory of the dif- ferential geometry with missile motion equations. Based on the model, the motion between the missile and the tar- get is considered as a single target differential game problem, and a new open-loop differential game midcourse guidance law (DGMGL) is deduced by solving the corresponding Hamiltonian Function. Meanwhile, a new struc- ture of a closed-loop DGMGL is presented and the training data for back propagation neural network (BPNN) are designed. By combining the theory of BPNN with the open-loop DGMGL obtained above, the law intelligence is realized. Finally, simulation is carried out and the validity of the law is testified. 展开更多
关键词 missiles TARGETS GUIDES back propagation neural network differential game
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New Algorithm for Image Target Recognition Based on Fractal Feature Fusion 被引量:2
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作者 潘秀琴 侯朝桢 苏利敏 《Journal of Beijing Institute of Technology》 EI CAS 2002年第4期342-345,共4页
By combining fractal theory with D-S evidence theory, an algorithm based on the fusion of multi-fractal features is presented. Fractal features are extracted, and basic probability assignment function is designed. Com... By combining fractal theory with D-S evidence theory, an algorithm based on the fusion of multi-fractal features is presented. Fractal features are extracted, and basic probability assignment function is designed. Comparison and simulation are performed on the new algorithm, the old algorithm based on single feature and the algorithm based on neural network. Results of the comparison and simulation illustrate that the new algorithm is feasible and valid. 展开更多
关键词 FRACTAL feature fusion target recognition
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Method for predicting economic peak yield for a single well of coalbed methane 被引量:5
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作者 YANG Shen KANG Yong-shang +2 位作者 ZHAO Qun WANG Hong-yan LI Jing-ming 《Journal of China University of Mining and Technology》 EI 2008年第4期521-526,共6页
The development of coalbed methane (CBM) in China poses great difficulties because of high investments, low produc- tion and high risks. So a study of the economic effect of a single well at its preliminary stage is h... The development of coalbed methane (CBM) in China poses great difficulties because of high investments, low produc- tion and high risks. So a study of the economic effect of a single well at its preliminary stage is helpful for commercial exploitation of CBM. Affected by wellbore flow pressure, initial reservoir pressure, relative permeability, Langmuir pressure and other factors, the trend of declining production of a single CBM well agrees, by and large, with a hyperbolic pattern of decline. Based on Arps’s equation, nearly 200 wells production with different peak yields and initial rates of were simulated. Given the present cost of drill- ing, gas production and engineering on the ground, the gross investment for the development of a single coalbed methane well was estimated for the Fanzhuang block in central China. Considering the current industrial policies for CBM, we established an eco- nomic assessment model and analyzed economic peaks. The results show the economic benefits with or without government subsi- dies at different peak yields of a single CBM well. The results of the evaluation can be directly applied in the Fanzhuang block. The evaluation method, formulated in our study, can be used to other areas with similar conditions. 展开更多
关键词 INVESTMENT hyperbolic decline economic benefits production peak
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Classifying ships by their acoustic signals with a cross-bispectrum algorithm and a radial basis function neural network
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作者 李思纯 杨德森 金莉萍 《Journal of Marine Science and Application》 2009年第1期53-57,共5页
An algorithm for estimating the cross-bispectrum of an acoustic vector signal was formulated. Composed features of sound pressure and acoustic vector signals are extracted by the proposed algorithm and other estimatin... An algorithm for estimating the cross-bispectrum of an acoustic vector signal was formulated. Composed features of sound pressure and acoustic vector signals are extracted by the proposed algorithm and other estimating algorithms for secondary and higher order spectra. Its effectiveness was tested with lake and sea trial data. These features can be used to construct an input vector set for a radial basis function neural network. The classification of vessels can then be made based on the extracted features. It was shown that the composed features of acoustic vector signals are more easily divided into categories than those of pressure signals. When using the composed features of acoustic vector signals, the recognition rate of underwater acoustic targets improves. 展开更多
关键词 acoustic vector signal cross-bispectrum feature extraction RBFNN ship classification
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A Parallel Integration Method of Cooperative Target-Localization and Cooperative Self-localization
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作者 WANG Leigang KONG Depei +1 位作者 ZHOU Jihang WANG Jianlu 《Transactions of Nanjing University of Aeronautics and Astronautics》 EI CSCD 2022年第2期231-238,共8页
When a group of mobile agents track a target,they can locate themselves and the target in a cooperative manner.To maximize the group advantage,a parallel integration strategy of cooperative target-localization(CTL)and... When a group of mobile agents track a target,they can locate themselves and the target in a cooperative manner.To maximize the group advantage,a parallel integration strategy of cooperative target-localization(CTL)and cooperative self-localization(CSL)is designed.Firstly,a global cost function containing the agents’positions and the target’s position is established.Secondly,along with the agents’positions being re-estimated during CTL,the Utransform is employed to propagate the error covariance of the position estimations among the agents.The simulation results show that,the proposal exploits more information for locating the target and the agents than the cases where CTL and CSL run separately,and the global optimal position estimations of the agents and the target are obtained. 展开更多
关键词 cooperative self-localization cooperative target-localization non-classical multi-dimensional scaling majoring function
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Strategy and Prospects for ZPEB’s Overseas Engineering Projects
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作者 Yang Ruimin Deng Mingqin +1 位作者 Xu Enxin Zhang Guangqin 《China Oil & Gas》 CAS 2005年第2期44-46,共3页
As one of the largest enterprises in China, Zhongyuan Petroleum Exploration Bureau. Sinopec (ZPEB) has become a medium-sized onshore oilfield with its exploration and development for more than thirty years. Its annu... As one of the largest enterprises in China, Zhongyuan Petroleum Exploration Bureau. Sinopec (ZPEB) has become a medium-sized onshore oilfield with its exploration and development for more than thirty years. Its annual output with crude oil of several milliontons and natnral gas of several billion cubicmeters has been kept for two decades. 展开更多
关键词 中原石油勘探局 海外工程项目 国际贸易 企业管理 经营战略 特种贸易
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基于智力城镇化的特色小镇产业培育探索——以辽宁通远堡镇为例 被引量:3
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作者 杨宁宁 高钰轩 +2 位作者 黄菖彬 邓兴浩 高雁鹏 《智能建筑与智慧城市》 2018年第9期88-91,94,共5页
我国城镇化正处于劣势的体力城镇化阶段,特色小镇作为新型城镇化的主力军,体力化威胁仍不可避免。为缓解特色小镇体力化困境,文章基于智力城镇化的相关理论,以辽宁通远堡镇为例,围绕特色产业展开智力化培育的探索。结合链式产业思维,以... 我国城镇化正处于劣势的体力城镇化阶段,特色小镇作为新型城镇化的主力军,体力化威胁仍不可避免。为缓解特色小镇体力化困境,文章基于智力城镇化的相关理论,以辽宁通远堡镇为例,围绕特色产业展开智力化培育的探索。结合链式产业思维,以智力投入、智力主体、智力产出三大环节为基础,以智力要素创新性地打造智力链条,构建可持续的特色产业,带动城镇化转型升级,以期为辽宁省乃至全国特色小镇培育提供借鉴。 展开更多
关键词 智力城镇化 智力投入 智力主体 智力产出 智力链
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