Application of Discrete Hopfield Neural Network to the Assessment of Nutritional Status in Lakes and Reservoirs:A Case Study on 24 Lakes and Reservoirs in China
Application of Discrete Hopfield Neural Network to the Assessment of Nutritional Status in Lakes and Reservoirs:A Case Study on 24 Lakes and Reservoirs in China
Cui Dong-wen
2012
1 Citations
TLDR
Based on the associative memory of discrete Hopfield neural network, a model to comprehensively assess the eutrophication level of lakes and reservoirs is established and is compared with those of projection pursuit method, score index method, and LM-BP network method.