| 基于遗传算法过程信号的盲分离 |
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| 引用本文： | 华容,苏中义.基于遗传算法过程信号的盲分离[J].上海交通大学学报,2001,35(2):319-322. |
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| 作者姓名： | 华容 苏中义 |
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| 作者单位： | 1. 上海应用技术学院自动化系,
2. 上海交通大学信息控制系, |
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| 摘 要： | 盲分离神经网络算法存在着容易限入局部极小点、收敛速度慢的缺点。提出采用遗传算法优化盲分离神经网络权值的初值，将遗传算法与HJNN结合形成GA－HJNN算法，可迅速得到最佳盲分离神经网络的权值矩阵，实现对过程信号的去噪，通过实验对2种算法进行了比较。
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| 关 键 词： | 遗传算法 神经网络 盲分离 过程信号 信号分离 |
| 文章编号： | 1006-2467(2001)02-0319-04 |
| 修稿时间： | 2000年8月24日 |
Blind Signal Sepration
Based on Genetic Algorithm for Process Signal |
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| HUA Rong,SU Zhong-yi.Blind Signal Sepration
Based on Genetic Algorithm for Process Signal[J].Journal of Shanghai Jiaotong University,2001,35(2):319-322. |
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| Authors: | HUA Rong SU Zhong-yi |
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| Institution: | HUA Rong 1,SU Zhong yi 2 |
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| Abstract: | One of the main weak points of the blind separation algorithm of HJNN is that the optimal procedure is easily stacked into the local minimal value and it causes slow convergence. Based on genetic algorithm (GA), this paper proposed GA HJNN algorithm to optimize the initial value of the weight of HJNN so as to obtain the optimum weight matrix quickly and realize the denoising of the process signal. The comparison between the two algotithms was given with experiment. |
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| Keywords: | genetic algorithm neural network blind separation process signal |
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