A neuron model with trainable activation function (TAF) and its MFNN supervised learning |
| |
| Authors: | Wu Youshou and Zhao Mingsheng |
| |
| Affiliation: | Department of Electronic Engineering,Tsinghua University,Beijing 100084,China |
| |
| Abstract: | This paper addresses a new kind of neuron model, which has trainable activation function (TAF) in addition to only trainable weights in the conventional M-P model. The final neuron activation function can be derived from a primitive neuron activation function by training. The BP like learning al-gorithm has been presented for MFNN constructed by neurons of TAP model. Several simulation ex-amples are given to show the network capacity and performance advantages of the new MFNN in com-parison with that of conventional sigmoid MFNN. |
| |
| Keywords: | neuron model neural network TAF neuron model learning algorithm |
| 本文献已被 CNKI 万方数据 SpringerLink 等数据库收录！ |
