Neural Network Modeling: Statistical Mechanics and Cybernetic Perspectives

Neural Network Modeling: Statistical Mechanics and Cybernetic Perspectives
by P. S. Neelakanta (Author), Dolores DeGroff (Author)

Product Details

Book Description
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.

Book Info
Portrays the concepts of statistical mechanics and cybernetics as bases for neural network modeling cohesively. DLC: Neural networks (Computer science)

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