Title :
An Optimization for Identification System of the Simulated Infrared Spectra of Polluted Gasses Using Genetic Algorithm
Author :
Meijuan, Liu ; Shuai, Yuan ; Lei, Jing ; Jun, Zhang
Author_Institution :
WenJing Coll. of Yantai Univ., Yantai, China
Abstract :
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.
Keywords :
air pollution; genetic algorithms; infrared spectra; neural nets; genetic algorithm; identification system optimization; multiobjective polluted infrared spectra; neural network; polluted gasses; simulated infrared spectra; Algorithm design and analysis; Artificial neural networks; Biological cells; Biological neural networks; Genetic algorithms; Infrared spectra; Object recognition; Genetic algorithm; Identification; Infrared spectra; Polluted gas; neural network;
Conference_Titel :
Intelligent System Design and Engineering Application (ISDEA), 2012 Second International Conference on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-1-4577-2120-5
DOI :
10.1109/ISdea.2012.523
