基于粒子群算法的BP神经网络优化技术

被引：80

作者：

张德慧

张德育

刘清云

吕艳辉

机构：

[1] 沈阳理工大学信息科学与工程学院

来源：

计算机工程与设计 | 2015年 / 36卷 / 05期

关键词：

BP神经网络; 粒子群算法; 改进; 训练; 预测;

D O I：

10.16208/j.issn1000-7024.2015.05.040

中图分类号：

TP183 [人工神经网络与计算];

学科分类号：

140502 [人工智能];

摘要：

针对传统BP神经网络存在学习效率低、收敛速度慢和容易陷入局部极小值的问题,提出一种基于改进的PSO来优化BP神经网络的方法。通过在PSO算法中引入随机变化的加速常数来获得最优权值,对BP神经网络进行优化和训练,将优化的BP神经网络用于遗传高血压患病年龄的预测中。实验结果表明,该方法较好地解决了传统BP神经网络易陷入局部极小值的问题,提高了算法的收敛速度和稳定性。

引用

页码：1321 / 1326

页数：6

共 12 条

[1]

BP Neural Network of Continuous Casting Technological Parameters and Secondary Dendrite Arm Spacing of Spring Steel.[J]..Journal of Iron and Steel Research(International).2011, 08

[2]

Short-term power load forecasting based on IVL-BP neural network technology.[J].Yongli Wang;Dongxiao Niu;Li Ji.Systems Engineering Procedia.2012,

[3]

Research on the Forecast Model of Electricity Power Industry Loan Based on GA-BP Neural Network.[J].Liu Ke;Guo Wenyan;Shen Xiaoliu;Tan Zhongfu.Energy Procedia.2012,

[4]

Application of BP Neural Network Algorithm in Sustainable Development of Highway Construction Projects.[J].Mingshun Li;Wencui Chen.Physics Procedia.2012,

[5]

Research on the Application of Artificial Neural Networks in Tender Offer for Construction Projects.[J].Zhang Minli;Qiao Shanshan.Physics Procedia.2012,

[6]

Improved BP Neural Network's Application in the Bank Early Warning.[J].Tuo zhong;Wang li-yuan.Procedia Engineering.2011,

[7]

Fault diagnosis of sensor by chaos particle swarm optimization algorithm and support vector machine [J].

Zhao Chenglin ;

Sun Xuebin ;

Sun Songlin ;

Jiang Ting .

EXPERT SYSTEMS WITH APPLICATIONS, 2011, 38 (08) :9908-9912

[8]

A kind of BP neural network algorithm based on grey interval [J].

Wu, Shun-Xiang ;

Luo, De-Lin ;

Zhou, Zhi-Wen ;

Cai, Jian-Huai ;

Shi, Yeu-Xiang .

INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2011, 42 (03) :389-396

[9]

Parallel relevance feedback for 3D model retrieval based on fast weighted-center particle swarm optimization [J].

Hu, Baokun ;

Liu, Yusheng ;

Gao, Shuming ;

Sun, Rui ;

Xian, Chuhua .

PATTERN RECOGNITION, 2010, 43 (08) :2950-2961

[10]

Applications of genetic neural network for prediction of critical heat flux.[J].Huiming Wei;G.H. Su;S.Z. Qiu;Weifeng Ni;Xingbo Yang.International Journal of Thermal Sciences.2009, 1

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