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一种训练循环神经网络的演化算法
引用本文:李云平,聂廷晋.一种训练循环神经网络的演化算法[J].陕西师范大学学报,2004(Z1).
作者姓名:李云平  聂廷晋
作者单位:武汉理工大学计算机科学学院 湖北武汉430070 (李云平),武警工程学院计算机教研室 陕西西安710086(聂廷晋)
摘    要:根据演化算法具有内在的并行性、自组织、自适应和自学习性等优点,进而成功地运用到神经网络中,给出了一种能同时训练循环神经网络结构和参数的演化算法.

关 键 词:演化算法  人工神经网络  演化规划  循环神经网络

An evolutionary algorithm of constructs recurrent neural Networks
LI Yun-ping,Nie Ting-jin.An evolutionary algorithm of constructs recurrent neural Networks[J].Journal of Shaanxi Normal University: Nat Sci Ed,2004(Z1).
Authors:LI Yun-ping  Nie Ting-jin
Abstract:Due to its intrinsic parallelism and some intelligent properties, such as self-organizing, adaptation and self-learning, evolutionary computation has been applied successfully to artificial neural network. It is introduced an evolutionary algorithm that can train the structure and parameters of a recurrent neural network at the same time.
Keywords:evolutionary computation  artificial neural network  evolutionary programming  recurrent neural network
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