An optimization for identification system of the simulated infrared spectra of polluted gasses using genetic algorithm

摘要：

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.

关键词： Genetic algorithm neural network Polluted gas Infrared spectra Identification

作者: Liu Meijuan Yuan Shuai Jing Lei Zhang Jun

作者单位: WenJing College of Yantai University Institute of Science and Technology for Opto-Electronic Information,Yantai University,Yantai 264005,

会议类型: 国际会议

会议名称: 2012 International Conference on Intelligent System Design and Engineering Applications(2012年智能系统设计与工程应用国际会议 ISDEA 2012)

会议地点: 三亚

会议语种:英文

页码: 108-110

在线出版日期: 2012-01-06（万方平台首次上网日期，不代表论文的发表时间）