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一种基于遗传算法的BP神经网络算法及其应用
引用本文:王崇骏,于汶滌,陈兆乾,谢俊元.一种基于遗传算法的BP神经网络算法及其应用[J].南京大学学报(自然科学版),2003,39(5):459-466.
作者姓名:王崇骏  于汶滌  陈兆乾  谢俊元
作者单位:南京大学计算机软件新技术国家重点实验室,南京210093
基金项目:江苏省自然科学基金(BK2001202,BK2002081)
摘    要:主要分析了神经网络和遗传算法的特点和存在的一些缺陷,研究了遗传算法和BP神经网络学习算法相结合的相关技术,设计并实现了一个基于遗传算法的BP神经网络算法BP—GA,已应用于肺癌早期细胞病理诊断系统中。实验结果表明,该算法具有较强的收敛性和鲁棒性,其应用效果很好。

关 键 词:遗传算法  BP神经网络学习算法  BP—GA算法  软计算  人工智能  收敛性  鲁棒性

A BP Neural Network Algorithm Based on Genetic Algorithms and Its Application
Wang Chong-Jun,Yu Wen-Di,Chen Zhao-Qian,Xie Jun-Yuan.A BP Neural Network Algorithm Based on Genetic Algorithms and Its Application[J].Journal of Nanjing University: Nat Sci Ed,2003,39(5):459-466.
Authors:Wang Chong-Jun  Yu Wen-Di  Chen Zhao-Qian  Xie Jun-Yuan
Abstract:The model of neural networks maily includes the following three elements: (1) the structure of neural networks including the layers and their relation; (2) the function of neural cell; (3) the algorithms of learning. There are many limitations implementing the neural network according to the integration of BP neural network learning algorithms with genetic algorithms. BP- GA, a BP neural network algorithm based on genetic algorithms is designed and implemented. This algorithm looks on every matrix of BP neural network as an unitary chromosome that is operated by the three major arithmetic operators including selection, crossover and mutation as the normal genetic algorithms. This mixed algorithm has been used in the diagnoses of lung cancer. The experimental results show that the algorithm has better convergence, robustness, and better effect in application.
Keywords:neural networks  genetic algorithms  soft computing
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