Research on software reliability model based on improved BP neural network

被引：2

作者：

Mei, Li ^{[1
]}

机构：

[1] Xian Eurasia Univ, Xian 710065, Shaanxi, Peoples R China

来源：

2018 INTERNATIONAL CONFERENCE ON SMART GRID AND ELECTRICAL AUTOMATION (ICSGEA) | 2018年

关键词：

neural network; Software reliability; BP Algorithm;

D O I：

10.1109/ICSGEA.2018.00061

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Neural network has good fault-tolerant ability, classification ability, parallel processing ability and so on, so the research of software reliability model based on neural network is paid more and more attention. Bp neural network has strong nonlinear mapping ability and flexible network structure, so BP neural network is currently used in various fields. In this paper, a software reliability model optimized by hidden layer BP neural network is proposed and the training process of BP algorithm on this model is described.

引用

页码：221 / 223

页数：3

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