A new water quality evaluation model based on simplified Hopfield neural network
Rong Li, Qiao Junfei · 2015
The evaluation of water quality plays a very important part in water resources protection. Compared with other methods, Hopfield neural network can evaluate the water quality effectively. Aiming at the problem of complicated structure of Hopfield neural network, a simplified model is proposed. In the simplified model, connection weights are designed by singular value decomposition to improve running speed. And the simple structure is got by deleting unimportant weights. Finally, the effectiveness and feasibility of simplified model is proved for water quality evaluation.