Application of Neural Networks in the Modeling of Plate Rolling Processes

Neural networks are a relatively new technique of Artificial Intelligence that emulates the behavior of biological neural systems in digital software or hardware. These networks can “learn” automatically complex relationships between data. So, there is no need to previously propose any model to correlate the desired variables. This feature makes this technique very useful in the modeling of processes which mathematical modeling is difficult or impossible. This work describes some real examples of applications of neural networks in the modeling of some plate mill processes at Companhia Siderúrgica Paulista COSIPA, a Brazilian steelmaker.