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Artificial neural networks B. Yegnanarayana

By: Material type: TextTextLanguage: English Publication details: New Delhi : PHI Learning, 2015.Description: xiii, 461 p.: 22 cmISBN:
  • 9788120312531
Subject(s): DDC classification:
  • 006.32 YEN
Contents:
Basics of Artificial Neural Networks Activation and Synaptic Dynamics Functional Units of ANN for Pattern Recognition Tasks Feedforward Neural Networks Feedback Neural Networks Competitive Learning Neural Networks Architectures for Complex Pattern Recognition Tasks Applications of ANN
Summary: Designed as an introductory level textbook on Artificial Neural Networks at the postgraduate and senior undergraduate levels in any branch of engineering, this self-contained and well-organized book highlights the need for new models of computing based on the fundamental principles of neural networks. Professor Yegnanarayana compresses, into the covers of a single volume, his several years of rich experience, in teaching and research in the areas of speech processing, image processing, artificial intelligence and neural networks. He gives a masterly analysis of such topics as Basics of artificial neural networks, Functional units of artificial neural networks for pattern recognition tasks, Feedforward and Feedback neural networks, and Archi-tectures for complex pattern recognition tasks. Throughout, the emphasis is on the pattern processing feature of the neural networks. Besides, the presentation of real-world applications provides a practical thrust to the discussion.
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Item type Current library Collection Call number Status Date due Barcode
General Books General Books CUTN Central Library Generalia Non-fiction 006.32 YEN (Browse shelf(Opens below)) Available 33908
General Books General Books CUTN Central Library Generalia Non-fiction 006.32 YEN (Browse shelf(Opens below)) Available 33909
General Books General Books CUTN Central Library Generalia Non-fiction 006.32 YEN (Browse shelf(Opens below)) Available 33910
General Books General Books CUTN Central Library Generalia Non-fiction 006.32 YEN (Browse shelf(Opens below)) Available 33911
Reference Books Reference Books CUTN Central Library Generalia Reference 006.32 YEN (Browse shelf(Opens below)) Not For Loan 33912

Basics of Artificial Neural Networks Activation and Synaptic Dynamics Functional Units of ANN for Pattern Recognition Tasks Feedforward Neural Networks Feedback Neural Networks Competitive Learning Neural Networks Architectures for Complex Pattern Recognition Tasks Applications of ANN

Designed as an introductory level textbook on Artificial Neural Networks at the postgraduate and senior undergraduate levels in any branch of engineering, this self-contained and well-organized book highlights the need for new models of computing based on the fundamental principles of neural networks.

Professor Yegnanarayana compresses, into the covers of a single volume, his several years of rich experience, in teaching and research in the areas of speech processing, image processing, artificial intelligence and neural networks. He gives a masterly analysis of such topics as Basics of artificial neural networks, Functional units of artificial neural networks for pattern recognition tasks, Feedforward and Feedback neural networks, and Archi-tectures for complex pattern recognition tasks. Throughout, the emphasis is on the pattern processing feature of the neural networks. Besides, the presentation of real-world applications provides a practical thrust to the discussion.

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