Research on automatic classification of agricultural products information based on neural network

Agricultural products information on the internet is constructed repeatedly, the content is haphazard and sharing resources can not be used, then a classification of improved neural network which is based on the adjustment and optimization of the weight is presented. The adjustment of weight, optimization of network structure and reasonable adjustment of parameters of BP neural network are discussed, a forecasting model is constructed to classify agricultural products information. Experimental results show that this method can be applied in classification of agricultural information. Comparing with traditional methods, the model has greatly improved the accuracy of the classification and obtained good stability and fault tolerance, providing the base for intelligent search and agricultural information.