Only a few years ago the neural networks were touted as the solution to all our worries. Artificial Intelligence the easy way! Of course nothing is ever that easy and it was not long before people realised that a lot of care and expertise are required to prevent a neural-based project going irretrievably wrong. This book presents the practical solutions required to successfully apply neural networks. Neural networks have become an invaluable tool to both academia and industry. Whether they are applied to business forecasting, machine health monitoring, process control or laboratory data analysis, researchers and managers alike are discovering the modelling power of neural networks. This book is not another selection of papers, but a fully integrated, structured approach the study and application of neural networks. It will be of interest to the industrial reader who wishes to benefit from the advantages neural networks provide and to the student or academic researcher who, rather than wishing to study neural networks for their own sake, wishes to learn how to use them. This book is Neural Networks Made Easy, showing you how to plan, run and succeed with a neural network based project. By taking the most popular type of neural network - the Multi Layer Perceptron - and presenting every step in its development, every decision to be made and every problem to overcome (plus solution!), it guides the reader to a successful project conclusion. Each chapter presents a stage in network development with an easy to follow discussion, a how-to-do-it reference section and a set of worked examples. The second half of the book is devoted to an in-depth study of a number of successful neural network applications in fields such as signal processing, financial predication, business decision support, and process monitoring and control. The book also comes complete with a disk of C and C++ programs to help you on your way. Everything you need, in fact, to put neural networks in practice"--Page 4 of cover.