Neural networks provide a powerful new technology to model and control nonlinear and complex systems. In this book, the authors present a detailed formulation of neural networks from the information-theoretic viewpoint. They show how this perspective provides new insights into the design theory of neural networks. In particular they show how these methods may be applied to the topics of supervised and unsupervised learning including feature extraction, linear and non-linear independent component analysis, and Boltzmann machines. Readers are assumed to have a basic understanding of neural...

Professionals in the water supply industry are faced with a mass of technical information about how best to use new technologies to improve the efficiency of their supply operations. This text is designed to help explain practical problems and potential solutions clearly and comprehensively to readers who may not be familiar with the latest development in IT and computing. Managers should find it useful in understanding the data requirements of these new systems and it will help them make the most of available resources. It should be of use to those planning and designing new systems and...