Research based on the neural network of Simulated Annealing and Genetic Algorithm in the precise fertilization
XU Shao-ping · Guangdong nongye kexue · 2012
In order to describe the complex nonlinear relationship between yield and the six factors,including soil nitrogen(N),phosphorus(P),potassium(K) concentration and N,P,K fertilizer input,we have improved the original BP neural network.Firstly,by revising the parameters,namely weight value and threshold value of ANN repeatedly with Simulated Annealing(SA),the performance of ANN was improved tremendously.Secondly,we adopted Genetic Algorithm(GA) to improve the same parameters of the neural network.At last,we compared the performances between the two methods and made the conclusion that the BP neural network which is based on Simulated Annealing and Genetic Algorithm has a better performance.