Improving the efficiency of dissolved oxygen control using an on-line control system based on a genetic algorithm evolving FWNN software sensor.

This work proposes an on-line hybrid intelligent control system based on a genetic algorithm (GA) evolving fuzzy wavelet neural network software sensor to control dissolved oxygen (DO) in an anaerobic/anoxic/oxic process for treating papermaking wastewater. With the self-learning and memory abilitie...

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Publicado en:	Journal of Environmental Management Vol. 187; pp. 550 - 560
Autores principales:	Ruan, Jujun, Zhang, Chao, Li, Ya, Li, Peiyi, Yang, Zaizhi, Chen, Xiaohong, Huang, Mingzhi, Zhang, Tao
Formato:	Artículo
Publicado:	Academic Press Inc. Feb2017
Materias:	Dissolved oxygen in water Genetic algorithms Neural circuitry Papermaking Sewage
Acceso en línea:	Ver este registro en EBSCOhost