Research on Prediction Model of Improved BP Neural Network Optimized by Genetic Algorithm

被引：0
|
作者：
Qi, Anzhi [1 ]
机构：
[1] Liaoning Jianzhu Vocat Coll, Liaoyang 111000, Peoples R China
来源：
PROCEEDINGS OF THE 2017 4TH INTERNATIONAL CONFERENCE ON MACHINERY, MATERIALS AND COMPUTER (MACMC 2017) | 2017年 / 150卷
关键词：
Prediction model; Improved BP neural network; Genetic algorithm;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Artificial neural networks have been applied in many fields, and with the continuous improvement of neural networks and the combination of other new algorithms, the application fields of artificial neural networks have become wider and wider. In this paper, genetic algorithm is used to optimize the performance of BP neural network. The numerical simulation results show that the BP neural network optimized by genetic algorithm can effectively avoid the local minimum defect of the original BP neural network, and has the advantages of fast convergence speed and high accuracy.
引用
收藏
页码：764 / 767
页数：4
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