The Application Research on Discrete Hopfield Neural Network in Water Quality Evaluation
Xiang Jun Wang · Applied Mechanics and Materials · 2013
It is difficult to evaluate water quality, because there are lots of influence factors. It presents discrete Hopfield neural network to evaluate water quality in this paper. The criteria of nutrition water quality used as training samples to train discrete Hopfield neural network, which is stored in discrete Hopfield neural network. The data in a monitoring point used as test samples to evaluate water quality. The experimental results show that discrete Hopfield neural network can evaluate water quality effectively. The classification results can be shown directly, and the running speed is faster than BP neural network. This method has important guiding significance and practical application value to other water quality evaluation.