Stress-strain relationship is the most important properties of physical mechanics of oilseeds during mechanical pressing. In view of the difficulty for establishing a mathematical model due to the complexity of physical mechanics performance, the stress-strain identification model for oilseeds based on BP neural network was developed to simulate the relationship. The identification results that the maximum error was less than 0.00005 and the maximum training times was less than 100 indicated that the method of stress-strain identification for cottonseed and castor be...
