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Neural Network Modeling: Statistical Mechanics and Cybernetic Perspectives

Format Post in Certification BY Dolores Degroff, P. S. Neelakanta

0849324882 Shared By Guest

Neural Network Modeling: Statistical Mechanics and Cybernetic Perspectives Dolores Degroff, P. S. Neelakanta is available to download <table><tr><td colspan="2"><strong style="font-size:1.This material is available do download at niSearch.com on Dolores Degroff, P. S. Neelakanta's eBooks, 2em;">Neural Network Modeling: Statistical Mechanics and Cybernetic Perspectives</strong><br/>Dolores Degroff, P.Neural Network Modeling: Statistical ... Textbook S. Neelakanta</td></tr> <tr> <td><b>Type:</b></td> <td>eBook</td> </tr> <tr> <td><b>Released:</b></td> <td>1994</td> </tr> <tr> <td><b>Publisher:</b></td> <td>CRC Press</td> </tr> <tr> <td><b>Page Count:</b></td> <td>236</td> </tr> <tr> <td><b>Format:</b></td> <td>pdf</td> </tr> <tr> <td><b>Language:</b></td> <td>English</td> </tr> <tr> <td><b>ISBN-10:</b></td> <td>0849324882</td> </tr> <tr> <td><b>ISBN-13:</b></td> <td>9780849324888</td> </tr> </table> 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.

Neural Network Modeling: Statistical Mechanics and Cybernetic Perspectives

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