Sliding mode algorithm for training multilayer artificial neural networks

作     者：Parma, GG Menezes, BR Braga, AP 

作者机构：Dept Elect Engn BR-30161970 Belo Horizonte MG Brazil 

出 版 物：《ELECTRONICS LETTERS》 (电子学快报)

年 卷 期：1998年第34卷第1期

页      面：97-98页

核心收录：

学科分类：0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 

主　　题：learning (artificial intelligence) neural nets Neural nets online learning algorithm variable structure systems artificial neural networks Neural computing techniques multilayer ANN training sliding mode algorithm 

摘      要：On-line learning algorithms for artificial neural networks (ANNs) are expected to adapt network parameters in order to face new control situations. A new on-line learning algorithm, based on sliding mode control (SMC) is presented. The results show that ANN inherits some of the advantages of SMC: high speed of learning and robustness.