Water quality parameters prediction method based on Self-Organization Neural Network

According the problem of difficult to measure online water quality parameters of activated sludge process wastewater treatment system, this paper proposed a new growth self-organization neural network. This network can dynamic generate network nodes and grow to suitable network structure rapidly according to need in the learning process no need to advance set the value the structure and scale. The water quality parameters model of wastewater treatment system based on this network, have more strong adaptive ability, can learning online, network structure is simple, learning velocity rapid, prediction effluent water COD concentration effectively according to input, which proved high effectiveness of this method.