Recognition of Effective Algorithm Using a Higher Order Multi-layer Neural Networks

摘要：

A new neural network architecture, call a higher order multi-layer neural networks(HOMLNN) is presented. The architecture of an HOMLNN is a modified model of the Evolved functional neural network(EFNN)with a hidden layer which is composed of self-evolve neurons and additional multiplication inputs between conventional inputs and self-evolve neurons. The authors drive a generalized dynamic backpropagation algorithm and show a new approach to the Recognition of dynamical systems by means of HOMLNN. Experiment result showed that the method is effective for the Recognition of dynamical systems.

关键词： neural network algorithm dynamical systems

作者: Gao Junwen Liu Jiancheng

作者单位: Electronic Depar.Of Guangdong Agriculture-Industry-Business Polytechnic College, 198 Yue Ken Road, Guangzhou 510507, P.R.China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 209-212

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）