Dynamic training rate for backpropagation learning algorithm

• 主要な著者: Al-Duais, M. S., Yaakub, Abdul Razak, Yusoff, Nooraini
• フォーマット: Conference or Workshop Item
• 言語: English
• 出版事項: 2013
• 主題: QA75 Electronic computers. Computer science
• オンライン･アクセス: http://repo.uum.edu.my/19123/1/MICC%202013%20277-282.pdf; http://repo.uum.edu.my/19123/; http://doi.org/10.1109/MICC.2013.6805839

In this paper, we created a dynamic function training rate for the Back propagation learning algorithm to avoid the local minimum and to speed up training.The Back propagation with dynamic training rate (BPDR) algorithm uses the sigmoid function.The 2-dimensional XOR problem and iris data were used...