AN IMPROVED GENETIC ALGORITHM FOR TRAINING LAYERED FEEDFORWARD NEURAL NETWORKS

被引：0

作者：

刘平

程翼宇

机构：

来源：

Journal of Zhejiang University-Science A(Applied Physics & Engineering) | 2000年 / 03期

关键词：

artificial neural network; genetic algorithms; layered feedforward neural networks;

D O I：

暂无

中图分类号：

TP183 [人工神经网络与计算];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The new genetic algorithm for training layered feedforward neural networks proposed here uses a mutation operator for performing the search behaviors of local optimization. Combining the random restart method with the local search technique, the algorithm can converge asymptotically to the optimal solution. Test with a practical example showed that the improved genetic algorithm is more efficient than the conventional genetic algorithm.

引用

页码：85 / 89

页数：5

共 50 条

[1] An improved genetic algorithm for training layered feedforward neural networks
Liu Ping
Cheng Yi-yu
[J]. Journal of Zhejiang University-SCIENCE A, 2000, 1 (3): : 322 - 326
[2] An Efficient Improved Adaptive Genetic Algorithm for Training Layered Feedforward Neural Networks
[J]. Wuhan University Journal of Natural Sciences, 1999, (03) : 318 - 318
[3] EFFICIENT GENETIC ALGORITHMS FOR TRAINING LAYERED FEEDFORWARD NEURAL NETWORKS
YOON, BJ
HOLMES, DJ
LANGHOLZ, G
KANDEL, A
[J]. INFORMATION SCIENCES, 1994, 76 (1-2) : 67 - 85
[4] Training feedforward neural networks: An algorithm giving improved generalization
Lee, CW
[J]. NEURAL NETWORKS, 1997, 10 (01) : 61 - 68
[5] A hybrid training algorithm for feedforward neural networks
Ben Nasr, Mounir
Chtourou, Mohamed
[J]. NEURAL PROCESSING LETTERS, 2006, 24 (02) : 107 - 117
[6] A TRAINING ALGORITHM FOR BINARY FEEDFORWARD NEURAL NETWORKS
GRAY, DL
MICHEL, AN
[J]. IEEE TRANSACTIONS ON NEURAL NETWORKS, 1992, 3 (02): : 176 - 194
[7] A Hybrid Training Algorithm for Feedforward Neural Networks
Mounir Ben Nasr
Mohamed Chtourou
[J]. Neural Processing Letters, 2006, 24 : 107 - 117
[8] Training feedforward neural networks using neural networks and genetic algorithms
Tellez, P
Tang, Y
[J]. INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATIONS AND CONTROL TECHNOLOGIES, VOL 1, PROCEEDINGS, 2004, : 308 - 311
[9] Improved training rules for multilayered feedforward neural networks
Sung, SW
Lee, TY
Park, S
[J]. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2003, 42 (06) : 1275 - 1278
[10] An improved arithmetic optimization algorithm for training feedforward neural networks under dynamic environments
Golcuk, Ilker
Ozsoydan, Fehmi Burcin
Durmaz, Esra Duygu
[J]. KNOWLEDGE-BASED SYSTEMS, 2023, 263

← 1 2 3 4 5 →