Non-linearity and Artificial Neural Networks. Multi-layer Perceptron
摘要
An introduction to multi-layer perceptron artificial neural networks is presented. The optimization of the relevant network parameters using backpropagation of errors is discussed. Applications to non-linear problems using the MVC1 software are illustrated with appropriate examples. Figures of merit for calibration with MLP models are included.