A prediction model of compression ratio for extruded oilseeds was developed based on improved BP neural networks. As an applied example, the predicted curves were successfully used to predict critical pressing pressures. Results indicated that the predicted values of compression ratios conformed to the measured values well for extruded cottonseed and castor been. There was a limiting compression for extruded oilseeds under given conditions. The compression ratios for extruded cottonseed had more rapid increase from 0 to 40 MPa of applied pressure. less increase from 40 to 80 MPa and insignific...
