Fundamentals of neural networks: architectures, algorithms, and applications
Material type: TextPublication details: Pearson Description: 467pISBN: 9788131700532Subject(s): Architecture (computers) Associative processing (computers) Computer networks Cybernetics Genetic algorithms Logic circuits Neural networks (Computer science) Pattern recognition Réseaux neuronaux (Informatique)DDC classification: 006.32 Summary: Providing detailed examples of simple applications, this new book introduces the use of neural networks. It covers simple neural nets for pattern classification; pattern association; neural networks based on competition; adaptive-resonance theory; and more. For professionals working with neural networksItem type | Current library | Collection | Call number | Status | Date due | Barcode |
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BK | Stack | Stack | 006.32 FAU/F (Browse shelf (Opens below)) | Available | 59757 |
Providing detailed examples of simple applications, this new book introduces the use of neural networks. It covers simple neural nets for pattern classification; pattern association; neural networks based on competition; adaptive-resonance theory; and more. For professionals working with neural networks
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