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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.
Offers an approach to the statistical mechanics and principles of cybernetics as a basis for neural network modeling. This work helps to understand the physics of collective behavior pertinent to neural elements and the self-control aspects of neurocybernetics.
Offers telecommunications engineers the advantage they need to stay sharp in their field. From the basics of ATM to various applications, this title covers various topics related to this switching and multiplexing strategy. It covers fundamental communications and network theory, followed by applied ATM networking.
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