为提升地震预测方法评价的标准化和应用的规范化,依托国家重点研发计划尝试把CSEP(Collaboratory for the Study of Earthquake Predictability)移植到中国,建立中国CSEP检验中心。自主研发了加卸载响应比(LURR)、地壳振动、态矢量和地...为提升地震预测方法评价的标准化和应用的规范化,依托国家重点研发计划尝试把CSEP(Collaboratory for the Study of Earthquake Predictability)移植到中国,建立中国CSEP检验中心。自主研发了加卸载响应比(LURR)、地壳振动、态矢量和地震综合概率预测模块;引进了国外的图像信息(PI)、相对强度(RI)、传染型余震序列(ETAS)预测模型并完成模块研发;遴选出Molchan检验、R值评分、N值检验和ROC检验等国际认可的地震预报效能评价方法,以集成方式搭建运行平台。作为开放性检验中心,通过不断纳入新的算法,着力提升地震预测能力、推进地震预测实践,将地震预报业务中常用的地震发生率指数、小震调制比、b值等预测方法纳入到中心运行。中心的软件系统既能够完成回顾性预测检验,又能够实现前瞻性预测分析,可为现有预测方法提供运行环境和技术支持。展开更多
A novel configuration performance prediction approach with combination of principal component analysis(PCA) and support vector machine(SVM) was proposed.This method can estimate the performance parameter values of a n...A novel configuration performance prediction approach with combination of principal component analysis(PCA) and support vector machine(SVM) was proposed.This method can estimate the performance parameter values of a newly configured product through soft computing technique instead of practical test experiments,which helps to evaluate whether or not the product variant can satisfy the customers' individual requirements.The PCA technique was used to reduce and orthogonalize the module parameters that affect the product performance.Then,these extracted features were used as new input variables in SVM model to mine knowledge from the limited existing product data.The performance values of a newly configured product can be predicted by means of the trained SVM models.This PCA-SVM method can ensure that the performance prediction is executed rapidly and accurately,even under the small sample conditions.The applicability of the proposed method was verified on a family of plate electrostatic precipitators.展开更多
文摘为提升地震预测方法评价的标准化和应用的规范化,依托国家重点研发计划尝试把CSEP(Collaboratory for the Study of Earthquake Predictability)移植到中国,建立中国CSEP检验中心。自主研发了加卸载响应比(LURR)、地壳振动、态矢量和地震综合概率预测模块;引进了国外的图像信息(PI)、相对强度(RI)、传染型余震序列(ETAS)预测模型并完成模块研发;遴选出Molchan检验、R值评分、N值检验和ROC检验等国际认可的地震预报效能评价方法,以集成方式搭建运行平台。作为开放性检验中心,通过不断纳入新的算法,着力提升地震预测能力、推进地震预测实践,将地震预报业务中常用的地震发生率指数、小震调制比、b值等预测方法纳入到中心运行。中心的软件系统既能够完成回顾性预测检验,又能够实现前瞻性预测分析,可为现有预测方法提供运行环境和技术支持。
基金Project(9140A18010210KG01) supported by the Departmental Pre-Research Fund of China
文摘A novel configuration performance prediction approach with combination of principal component analysis(PCA) and support vector machine(SVM) was proposed.This method can estimate the performance parameter values of a newly configured product through soft computing technique instead of practical test experiments,which helps to evaluate whether or not the product variant can satisfy the customers' individual requirements.The PCA technique was used to reduce and orthogonalize the module parameters that affect the product performance.Then,these extracted features were used as new input variables in SVM model to mine knowledge from the limited existing product data.The performance values of a newly configured product can be predicted by means of the trained SVM models.This PCA-SVM method can ensure that the performance prediction is executed rapidly and accurately,even under the small sample conditions.The applicability of the proposed method was verified on a family of plate electrostatic precipitators.
