Determining the number of BP neural network hidden layer units

• Main Authors: SHEN, Huayu, WANG, Zhaoxia, GAO, Chengyao, QIN, Juan, YAO, Fubin, XU, Wei
• Format: text
• Language: Chinese
• Published: Institutional Knowledge at Singapore Management University 2008
• Subjects: BP neural network; hidden layer unit; error; Numerical Analysis and Scientific Computing; Operations Research, Systems Engineering and Industrial Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/5570; https://ink.library.smu.edu.sg/context/sis_research/article/6573/viewcontent/2008_BP神经网络隐含层单元数的确定.pdf
• Institution: Singapore Management University

This paper proposed an improved method to contrapose the problem which is difficult to determine the number of BP neural network hidden layer units. it is proved that the method is efficeient in reducing the frequency of the test through experients, and improves the efficiency of determining the best number of hidden units, which is more valuable in the applications.