| 基于粒子群优化的高维小波神经网络及其应用 |
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| 引用本文： | 张碧夏,邢进生. 基于粒子群优化的高维小波神经网络及其应用[J]. 山西师范大学学报：自然科学版, 2013, 0(3): 6-10 |
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| 作者姓名： | 张碧夏 邢进生 |
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| 作者单位： | 山西师范大学数学与计算机科学学院,山西临汾041004 |
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| 基金项目： | 山西软科学基金资助项目（2011041033-03） |
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| 摘 要： | 本文提出一种粒子群优化小波神经网络的新方法.先采用基于梯度下降的误差反传算法调整小波神经网络参数,再使用粒子群算法修正,从而建立了粒子群优化的高维小波神经网络,并将该方法用于构建热连轧产品质量模型.仿真结果表明,此模型提高了预测精度和收敛速度.
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| 关 键 词： | 粒子群 小波神经网络 热连轧产品 质量控制 |
The Application of High-dimensional Wavelet Neural Network Based on the Optimization of Particle Swarm |
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| ZHANG Bi-xia,XING Jin-sheng. The Application of High-dimensional Wavelet Neural Network Based on the Optimization of Particle Swarm[J]. Journal of Shanxi Teachers University, 2013, 0(3): 6-10 |
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| Authors: | ZHANG Bi-xia XING Jin-sheng |
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| Affiliation: | (School of Mathematics and Computer Science, Shanxi Normal University, Linfen 041004, Shanxi, China) |
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| Abstract: | A new method for the optimization of wavelet neural network based on the particle swarm is pres- ented. According to the error back propagation algorithm of gradient descent, the parameters of wavelet neutral network are firstly adjusted, and then revised by the particle swarm optimization. Therely the high-dimensional wavelet neural network of particle swarm optimization is built, and used to predict the quality of product in hot- rolling plated. The results of the simulation experiments show that the predicition precision and convergence speed are improved. |
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| Keywords: | hot-rolling plate quality control PSO wavelet neural network |
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