Translated Titles

A Neural Network Design Method Based on Fuzzy Evolutionary Programming and Layer-wise Method


刘芳(Fang Liu);李人厚(Ren-Hou Li)

Key Words

模糊进化规划 ; 前向神经网络 ; 分层方法 ; fuzzy evolutionary programming ; feedforward neural network ; layer-wise method



Volume or Term/Year and Month of Publication

33卷4期(2004 / 08 / 01)

Page #

385 - 388

Content Language


Chinese Abstract


English Abstract

A fuzzy evolutionary programming method to design the feedforward neural network is proposed. By evolving a population of neurons instead of neural, the length of coding is decreased and computation pressure is greatly alleviated. At the same time, the method not only simplifies the computation of the fitness, but also decreases the complexity of the fitness space. The simulation results show that the premature convergence in evolutionary programming is restrained effectively, and the learning efficiency and convergence precision for the weights of the multi-layer feedforward neural networks are improved greatly. These results also show that the proposed method can produce very compact artificial neural networks in comparison with other algorithms.

Topic Category 基礎與應用科學 > 資訊科學
工程學 > 土木與建築工程
工程學 > 電機工程