| 神经网络的BP训练算法和遗传优化训练算法的对比研究 |
| |
| 引用本文： | 刘红,任坤,陈文楷.神经网络的BP训练算法和遗传优化训练算法的对比研究[J].北京工业职业技术学院学报,2008,7(2):30-34. |
| |
| 作者姓名： | 刘红 任坤 陈文楷 |
| |
| 作者单位： | 北京工业大学,北京,100022;北京工业大学,北京,100022;北京工业大学,北京,100022 |
| |
| 摘 要： | BP算法是人工神经网络的传统常用训练算法。遗传算法是一种新型的、随机性的、全局性的优化方法。基于MATLAB对比这两种训练方法的异同和优缺点，从而达到神经网络的最优化训练，充分发挥神经网络的作用。
|
| 关 键 词： | 神经网络 BP算法 遗传算法 训练 |
Neural Network Based Comparative Study of Genetic and BP Training Algorithms |
| |
| Liu Hong,Ren Kun,Chen Wenkai.Neural Network Based Comparative Study of Genetic and BP Training Algorithms[J].Journal of beijing vocational & technical institute of industry,2008,7(2):30-34. |
| |
| Authors: | Liu Hong Ren Kun Chen Wenkai |
| |
| Institution: | Liu Hong Ren Kun Chen Wenkai (Beijing University of Technolog,Beijing 100022,China) |
| |
| Abstract: | BP algorithm is one of common training algorithms of Artificial Neural Network.Genetic algorithm is a new,random and global optimization method.In this paper BP algorithm and genetic algorithm are compared to find out their advantages and disadvantages in optimization training of Artificial Neural Network. |
| |
| Keywords: | Neural Network BP algorithm Genetic algorithm training |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
