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国家自然科学基金(21176073): 作品数：11被引量：20H指数：3; 导出分析报告; 相关作者：颜学峰童楚东张青姜庆超胡志敏更多>>; 相关机构：华东理工大学更多>>; 相关期刊：《化工自动化及仪表》《华东理工大学学报（自然科学版）》《Journal of Zhejiang University-Science A(Applied Physics & Engineering)》《石油化工高等学校学报》更多>>; 相关主题：BASED_ONINTEGRATED主元分析ITSAPPLICATION更多>>; 相关领域：自动化与计算机技术化学工程电子电信机械工程更多>>

融合概率分布和单调性的支持向量回归算法被引量：1: 《控制理论与应用》2017年第5期671-676,共6页张青颜学峰; 国家自然科学基金项目(21176073);国家"973"计划(2013CB733605)资助~~; 传统支持向量回归是单纯基于样本数据的输入输出值建模,仅使用样本数据信息,未充分利用其他已知信息,模型泛化能力不强.为了进一步提高其性能,提出一种融合概率分布和单调性先验知识的支持向量回归算法.首先将对偶二次规划问题简化为线...; 关键词：支持向量回归概率分布单调性粒子群优化

基于即时学习的集成神经网络及其干点预测被引量：5: 《华东理工大学学报（自然科学版）》2016年第5期696-701,共6页吴朔枫颜学峰; 国家"973"计划(2013CB733605);国家自然科学基金(21176073); 针对单个神经网络泛化能力差、对不同样本预测精度波动大的问题,提出了一种基于即时学习集成神经网络方法。首先,基于训练样本,建立多个不同的神经网络模型。其次,根据即时学习的思想,在对样本进行预测时,在训练样本中寻找与预测样本最...; 关键词：神经网络即时学习集成干点

多样性分布参数的粒子群算法及其在过程动态优化中的应用: 《化工自动化及仪表》2015年第3期277-281,共5页王应虎范勤勤颜学峰; 国家"973"计划项目(2013CB733605);国家自然科学基金项目(21176073); 提出一种多样性分布参数的粒子群算法(DDPPSO)。在DDPPSO算法中,每个粒子在初始化时拥有各自的惯性权重和加速因子。在迭代时由每个粒子的寻优性能决定其参数的权重,进而计算参数群体的加权平均值。根据加权平均值与自适应方差,通过正...; 关键词：粒子群算法多样性分布动态优化生物反应器

Harmony search algorithm with differential evolution based control parameter co-evolution and its application in chemical process dynamic optimization被引量：1: 《Journal of Central South University》2015年第6期2227-2237,共11页范勤勤王循华颜学峰; Project(2013CB733605)supported by the National Basic Research Program of China;Project(21176073)supported by the National Natural Science Foundation of China; A modified harmony search algorithm with co-evolutional control parameters(DEHS), applied through differential evolution optimization, is proposed. In DEHS, two control parameters, i.e., harmony memory considering rat...; 关键词：harmony search differential evolution optimization CO-EVOLUTION self-adaptive control parameter dynamic optimization

Fault diagnosis and process monitoring using a statistical pattern framework based on a self-organizing map被引量：2: 《Journal of Central South University》2015年第2期601-609,共9页宋羽姜庆超颜学峰; Project(2013CB733605)supported by the National Basic Research Program of China;Project(21176073)supported by the National Natural Science Foundation of China;Project supported by the Fundamental Research Funds for the Central Universities,China; A multivariate method for fault diagnosis and process monitoring is proposed. This technique is based on a statistical pattern(SP) framework integrated with a self-organizing map(SOM). An SP-based SOM is used as a cla...; 关键词：statistic pattern framework self-organizing map fault diagnosis process monitoring

A Hybrid Differential Evolution Algorithm Integrated with Particle Swarm Optimization: 《Journal of Donghua University(English Edition)》2014年第2期197-200,共4页范勤勤颜学峰; National Key Basic Research Project of China(973 program)(No.2013CB733600);National Natural Science Foundation of China(No.21176073);Program for New Century Excellent Talents in University,China(No.NCET-09-0346);the Fundamental Research Funds for the Central Universities,China; To implement self-adaptive control parameters, a hybrid differential evolution algorithm integrated with particle swarm optimization （PSODE） is proposed. In the PSODE, control parameters are encoded to be a symbioti...; 关键词：differential evolution algorithm particle swann optimization SELF-ADAPTIVE CO-EVOLUTION

Statistical process monitoring based on improved principal component analysis and its application to chemical processes被引量：2: 《Journal of Zhejiang University-Science A(Applied Physics & Engineering)》2013年第7期520-534,共15页Chu-dong TONG Xue-feng YAN Yu-xin MA; supported by the National Basic Research Program of China (973 Program) (No. 2013CB733600);the National Natural Science Foundation of China (No. 21176073);the Program for New Century Excellent Talents in University (No. NCET-09-0346);the Fundamental Research Funds for the Central Universities, China; In this paper, a novel criterion is proposed to determine the retained principal components (PCs) that capture the dominant variability of online monitored data. The variations of PCs were calculated according to thei...; 关键词：Fault detection Principal component analysis (PCA) Correlative principal components (CPCs) Tennessee Eastman process

Chemical process dynamic optimization based on hybrid differential evolution algorithm integrated with Alopex被引量：5: 《Journal of Central South University》2013年第4期950-959,共10页范勤勤吕照民颜学峰郭美锦; Project(2013CB733600) supported by the National Basic Research Program of China;Project(21176073) supported by the National Natural Science Foundation of China;Project(20090074110005) supported by Doctoral Fund of Ministry of Education of China;Project(NCET-09-0346) supported by Program for New Century Excellent Talents in University of China;Project(09SG29) supported by "Shu Guang", China; To solve dynamic optimization problem of chemical process (CPDOP), a hybrid differential evolution algorithm, which is integrated with Alopex and named as Alopex-DE, was proposed. In Alopex-DE, each original individua...; 关键词：evolutionary computation dynamic optimization differential evolution algorithm Alopex algorithm self-adaptivity

基于PCA与OLPP混合方法的化工过程故障检测被引量：4: 《计算机与应用化学》2012年第9期1065-1068,共4页童楚东颜学峰; 国家自然科学基金(21176073);博士点基金(20090074110005);曙光计划(09SG29);新世纪优秀人才(NCET-09-0346); 对于复杂的工业过程,采集到的过程数据能反映出生产过程的内在变化和运行状况。本文提出一种新的多变量统计过程监测策略,数据建模过程包含主元分析(Principal Component Aanlysis,PCA)与正交局部保持投影(Orthogonal Locality Preservi...; 关键词：故障检测主元分析正交局部保持投影 TE过程

双层粒子群算法及应用于压力容器设计: 《计算机与应用化学》2012年第9期1139-1142,共4页胡志敏颜学峰; 国家自然科学基金资助项目(21176073);博士点基金(20090074110005);曙光计划(09SG29);新世纪优秀人才(NCET-09-0346); 针对粒子群算法控制参数调整策略,提出一种双层粒子群优化算法(DBPSO);DBPSO有内外2层粒子,内层粒子是优化问题的解,对优化问题进行寻优;外层粒子由内层粒子的参数组成,通过协进化策略,实现参数自适应调整。利用5个常用标准测试函数对DB...; 关键词：粒子群优化算法自适应内层粒子外层粒子压力容器设计

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