| 改进BP算法的参数优化和知识学习 |
| |
| 引用本文： | 汤天浩,罗成汉,李杰仁.改进BP算法的参数优化和知识学习[J].上海海事大学学报,1996(1). |
| |
| 作者姓名： | 汤天浩 罗成汉 李杰仁 |
| |
| 作者单位： | 上海海运学院商船学院 |
| |
| 基金项目： | 上海市自然科学基金,高等学校青年教师学术基金 |
| |
| 摘 要： | 论述一种基于人工神经网络（ＡＮＮ）的知识学习方法，采用改进的ＢＰ算法训练ＡＮＮ，用于船用柴油机故障诊断，以解决一般专家系统在知识获取过程中的“瓶颈”问题。还讨论了ＢＰ算法的改进与参数优化，并给出了在故障诊断中的应用实例。
|
| 关 键 词： | 人工神经，神经网络，人工智能，专家系统，柴油机，计算方法，故障诊断 |
Parameter Optimization of Improved BP Algorithm and Its Application in Knowledge Learning |
| |
| Tang Tianhao,Luo Chenghan,Li Jieren.Parameter Optimization of Improved BP Algorithm and Its Application in Knowledge Learning[J].Journal of Shanghai Maritime University,1996(1). |
| |
| Authors: | Tang Tianhao Luo Chenghan Li Jieren |
| |
| Institution: | Tang Tianhao;Luo Chenghan;Li Jieren |
| |
| Abstract: | This paper describes a knowledge learning method based on artificialneural network(ANN). An improved BP algorithm is used to train the ANN, and its application to the fault diagnosis of marine diesel engine helps to solve the problem of a narrow bottle neck in knowledge acquisition of the common expert systems. In this paper the improvement of BP algorithm and the choice of the optimal parameter are discussed,and some practical training results and faultdiagnosing examples are given. |
| |
| Keywords: | artificial neurons neural networks artificial intelligence expertsystems diesel engines computational methods fault diagnosis |
| 本文献已被 CNKI 等数据库收录！ |
