Sinter Strength Prediction Based on Artificial Neural Network Technology

Aim at the actual complicacy and difficulty of controlling strength content in sinter, a 3-layer artificial neural network model with multi input factors has been set up in this work that provide a new method for strength content control in production field. The network has reasonable construction, high accuracy and strong generalization ability. The predicted results coincide with the experimental values that shows the ANN model is an effective way to analyze sinter strength.