Prediction of soybean price in China using QR-RBF neural network model

Author:

Zhang Dongqing,Zang Guangming,Li Jing,Ma Kaiping,Liu Huan

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference32 articles.

1. Price discovery in the soybean futures market;Adrangi;J. Bus. Econ. Res.,2006

2. Forecasting food prices: the case of corn, soybeans and wheat;Ahumada;Int. J. Forecast.,2016

3. Practical modeling and optimization of ultrasound-assisted bleaching of olive oil using hybrid artificial neural network-genetic algorithm technique;Asgari;Comput. Electron. Agric.,2017

4. What explains agricultural price movements?;Baffes;J. Agric. Econ.,2016

5. Balcombe, K., 2009. The Nature and Determinants of Volatility in Agricultural Prices. MPRA Paper No.24819. (accessed Sep. 7, 2010).

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