Title: Faster escaping from local minima for back-propagation algorithm
Abstract: With the purpose of solving the local minima of standard Back-Propagation(BP) algorithm,a modified error function was proposed to escape from the local minima and converge to the global minima.A modified XOR was used.The result contrast indicates that the new back-propagation algorithm can fast escape from the local minima and converge to the global minima,which is just within the expectation.
Publication Year: 2008
Publication Date: 2008-01-01
Language: en
Type: article
Access and Citation
AI Researcher Chatbot
Get quick answers to your questions about the article from our AI researcher chatbot