利用遗传算法优化污染气体模拟红外光谱识别系统

2012 Second International Conference on Intelligent System Design and Engineering Application Pub Date : 2012-01-06 DOI:10.1109/ISDEA.2012.523

Li Meijuan, Y. Shuai, Jing Lei, Zhang Jun

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引用次数: 0

摘要

提出了一种利用遗传算法选择神经网络隐节点的新方法。实验结果表明，遗传算法可以选择合适的隐藏节点，识别结果表明，该系统对多目标污染红外光谱的识别效率很高。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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An Optimization for Identification System of the Simulated Infrared Spectra of Polluted Gasses Using Genetic Algorithm

A new method that the hidden nodes of the neural network are chosen by the genetic algorithm is proposed in this paper. The experimental results show that the appropriate hidden nodes can be selected by the genetic algorithm, and the results from the identification indicate that the system is quite efficient for identifying multi-objective polluted infrared spectra.

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2012 Second International Conference on Intelligent System Design and Engineering Application

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