Covering the basics of electrical communication and networking as background material, this is an introduction to ATM telecommunications. It combines the theory underlying broadband communications technology with applied practical instructions and lessons gleaned from practice. Lessons in the book are based on industry design and implementation case studies. There is a solutions manual and the accompanying disk contains design exercises.

Neural Network Modeling offers a cohesive approach to the statistical mechanics and principles of cybernetics as a basis for neural network modeling. It brings together neurobiologists and the engineers who design intelligent automata to understand the physics of collective behavior pertinent to neural elements and the self-control aspects of neurocybernetics. The theoretical perspectives and explanatory projections portray the most current information in the field, some of which counters certain conventional concepts in the visualization of neuronal interactions.

Intended for engineers and computer scientists working in the field of artificial neural networks, this book presents insight as well as different perspectives on information-processing as it relates to real and artificial networks. It provides alternative strategies for designing and understanding complex neural networks.