Prediction model of agricultural product's price based on the improved BP neural network

The price of agricultural products are affected by many factors, and the relationship between independent variables and dependent variables can not use specific mathematical formula to express. The traditional prediction methods emphasized on the linear relationship between the prices, and the limit...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Wei Minghua, Zhou Qiaolin, Yang Zhijian, Zheng Jingui
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Agricultural products Biological neural networks BP neural network Indexes MIV momentum back propagation Predictive models price of agricultural products Training variable learning rate
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