[1]张昭昭,乔俊飞,杨刚.自适应前馈神经网络结构优化设计[J].智能系统学报,2011,6(4):312-317.
 ZHANG Zhaozhao,QIAO Junfei,YANG Gang.An adaptive algorithm for designingoptimal feedforward neural network architecture[J].CAAI Transactions on Intelligent Systems,2011,6(4):312-317.
点击复制

自适应前馈神经网络结构优化设计

参考文献/References:
[1]邱健斌,王劭伯.进化神经网络PID控制器的研究与应用[J].智能系统学报, 2008, 3(3): 245249.
QIU Jianbin, WANG Shaobo. An improved PID controller based on an evolutionary neural network[J]. CAAI Transactions on Intelligent Systems, 2008, 3(3): 245249. 
?[2]张昭昭,乔俊飞,韩红桂. 一种基于神经网络复杂度的修剪算法[J].控制与决策, 2010, 25(6): 178182.
?ZHANG Zhaozhao, QIAO Junfei, HAN Honggui. A pruning algorithm based on neural complexity[J]. Control and Decision, 2010, 25(6): 178182.
[3]乔俊飞,张颖.一种多层前馈神经网络的快速修剪算法[J].智能系统学报, 2008, 3(2): 173176.
QIAO Junfei, ZHANG Ying. Fast unit pruning algorithm for multilayer feedforward network design[J]. CAAI Transactions on Intelligent Systems, 2008, 3(2): 173176.
[4] MA L,KHORASANI K. Constructive feedforward neural networks using Hermite poly nomial activation function[J]. IEEE Transactions on Neural Network, 2005, 16(4): 821833.
[5]ISLAM Monirual, SATTAR A, AMIN F, YAO Xin, MURASE K. A new adaptive merging and growing algorithm for designing artificial neural networks[J]. IEEE Transactions on Systems, Man, and Cybernetics—Part B: Cybernetics, 2009, 39(3): 705722.
[6]吴晓刚, 王旭东, 余腾伟.发动机输出转矩的改进BP神经网络估计[J]. 电机与控制学报, 2010, 14(3): 104108.
?WU Xiaogang, WANG Xudong, YU Tengwei. Estimation of engine output torque based on improved BP neural network[J]. Electric Machines and Control, 2010, 14(3): 104108.
[7]宋勇,李贻斌,李彩虹. 递归神经网络的进化机器人路径规划方法[J]. 哈尔滨工程大学学报, 2009, 30(8): 898902.
?SONG Yong, LI Yibin, LI Caihong. Path planning based on a recurrent neural network for an evolutionary robot[J]. Journal of Harbin Engineering University, 2009, 30(8): 898902.
[8]陆瑶,张杰,冯英浚. 非线性动态系统的模糊神经网络自适应H∞鲁棒控制[J]. 哈尔滨工程大学学报, 2009, 30(9): 10821086.
LU Yao, ZHANG Jie, FENG Yingjun. H∞ robust adaptive control of a fuzzy neural network based nonlinear dynamic system[J]. Journal of Harbin Engineering University, 2009, 30(9): 10821086.
[9]罗耀华, 从静. 基于BP神经网络的三相逆变器故障诊断研究[J]. 应用科技, 2010, 37(6): 5660.
LUO Yaohua, CONG Jing. Fault diagnosis of threephase inverter using BP neural network[J]. Applied Science and Technology, 2010, 37(6): 5660.
?[10]KRASKOV A, STOGBAUER H, GRASSBERGER P. Estimating mutual information[J]. Phys Rev E, Sta Plasmas Fluids Relat Interdiscip Top, 2004, 69( 0661138): 116. 
[11]HONG Jie, HU Baogang. Twophase construction of multilayer perceptions using information theory[J]. IEEE Transactions on Neural Network, 2009, 20(4): 542550.
?[12]LIU Yinyin, STARZYK J A, ZHU Zhen. Optimized approximation algorithm in neural networks without overfitting[J]. IEEE Transactions on Neural Network, 2008, 19(6): 983995.
[13]HASSIBI B, STORK D, WOLFF G, WATANABE T. Optimal brain surgeon: extensions and performance comparisons[C]//Adavances in Neural Informati on Processing Systems 6. San Mateo, USA: Morgan Kaufman, 1994: 263270.
?[14]FAHLMAN S E, LEBIERE C. The cascade correlation learning architecture[C]//Advances in Neural Information Processing Systems 2. San Mateo, USA: Morgan Kaufman, 1990: 524532. 
相似文献/References:
[1]乔俊飞,李凡军,杨翠丽.随机权神经网络研究现状与展望[J].智能系统学报,2016,11(6):758.[doi:10.11992/tis.201612015]
 QIAO Junfei,LI Fanjun,YANG Cuili.Review and prospect on neural networks with random weights[J].CAAI Transactions on Intelligent Systems,2016,11():758.[doi:10.11992/tis.201612015]
[2]乔俊飞,安茹,韩红桂.基于相对贡献指标的自组织RBF神经网络的设计[J].智能系统学报,2018,13(2):159.[doi:10.11992/tis.201608009]
 QIAO Junfei,AN Ru,HAN Honggui.Design of self-organizing RBF neural network based on relative contribution index[J].CAAI Transactions on Intelligent Systems,2018,13():159.[doi:10.11992/tis.201608009]
[3]蒙西,乔俊飞,李文静.基于快速密度聚类的RBF神经网络设计[J].智能系统学报,2018,13(3):331.[doi:10.11992/tis.201702014]
 MENG Xi,QIAO Junfei,LI Wenjing.Construction of RBF neural networks via fast density clustering[J].CAAI Transactions on Intelligent Systems,2018,13():331.[doi:10.11992/tis.201702014]

备注/Memo

收稿日期:
基金项目:国家自然科学基金资助项目(60873043);国家“863”计划资助项目(2009AA04Z155);北京市自然科学基金资助项目(4092010);教育部博士点基金资助项目(200800050004).
通信作者:张昭昭.E-mail:zzzhao123@126.com.
作者简介:
张昭昭,男,1973年生,博士研究生,主要研究方向为智能系统与智能信息处理、神经网络结构设计与优化.
乔俊飞,男,1968年生,教授,博士生导师,主要研究方向为复杂过程建模与控制、计算智能与智能优化控制,发表学术论文100余篇,其中被SCI、EI检索60余篇. 杨刚,男,1983年生,博士研究生,主要研究方向为神经计算与智能优化控制.

更新日期/Last Update: 2011-09-30
Copyright © 《 智能系统学报》 编辑部
地址:(150001)黑龙江省哈尔滨市南岗区南通大街145-1号楼 电话:0451- 82534001、82518134 邮箱:tis@vip.sina.com