Prediction Study of Farmer Income Based on the Artificial Neural Network

The multiple variable synthetical predication problems with error back propagation training artificial neural network(BP neural network) is researched.To study the farmer income of Shanghuang experimental area is the background,BP's models of multiple variable synthetical predication were established.The results of experimental prediction show that the accuracy of predication by the neural network models is very high. They open up a new way to predict farmer income.