Preliminary Study on Establishing a New Optimization Model of BP Neural Network Based on"3414"Fertilizer Efficiency Experiment
In connection with the problem that traditional fertilization method cannot meet the rule of fertilizer requirement of rice in Yaodong area of Chongming District,Shanghai,a 3-7-1 topological structure BP neural network model is established based on the results of rice"3414"fertilizer efficiency experiment as the data source and the application amounts of N,P2O5 and K2O as the optimization objective.The optimal fertilization ratio under the optimal yield is obtained by genetic algorithm.The predicted results show that the optimal fertilization ratio of N,P2O5 and K2O in local area is 24.94,0.87 and 4.27 kg/mu(1 mu = 667 m2),respectively,and the highest yield is expected to be 531.5 kg/mu.Through validation experiment,the actual yield of rice is 548.7 kg/mu under the optimal fertilization ratio,which verifies the accuracy of the predicted results of the BP neural network model.
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