Research on Elman Feedback Process Neural Network and Its Applications

摘要：

To address the drawbacks of slow convergenceand low accuracy of Double Parallel Feed-forward ProcessNeural Networks with output as function, an Elman-stylefeedback process neural network model with output as function is proposed. The learning algorithm of this model is given and the effectiveness of this model is proved by a non-linear system identification problem.

关键词： component elman-style feedback process neural network time-varying function learning algorithm

作者: Tian Li

作者单位: College of Information and Technology Heilongjiang Bayi Agricultural University Daqing, 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: 60-63

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）