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  Book Details




Multidimensional Neural Networks Unified Theory
Murthy, G Rama , Faculty Member, International Institute of Information Technology, Hyderabad.
PRINTED BOOK DETAILS:
ISBN : 978-93-86286-77-2
Publication Year : 2017
Edition : 1st
Pages : 168
Price : $ 39.93
Binding : Hardbound
      
About the Book:

The book ``Multidimensional Neural Networks (MDNNs): Unified Theory`` has been conceived for serving 3 types of users: Senior undergraduate/graduate students, practising engineers, and advanced neural network researchers.

This book is based on the following innovations:
  • Multidimensional (M-D) logic theory i.e., conceiving logic gates/circuits operating on multidimensional arrays
  • Tensor state space representation of certain M-D systems
  • Relation M-D logic gates, M-D codeword tensors, M-D optimal control tensors to M-D neural networks unification
  • Novel complex valued associative memory (CVNN) on the hypercube
  • Novel models of biological neurons such as those with a linear filter model of synapse
  • Neural network based signal processing
The subject of M-D neural networks will have the applications in:

  • Design of versatile associative memories,
  • Optimal design of intelligent systems,
  • Pattern recognition systems etc.


  • About the Author:

    G. Rama Murthy received his Ph.D. degree in Computer Engineering from Purdue University, West Lafayette, U.S.A. He is currently a faculty member at the International Institute of Information Technology, Hyderabad. He has presented/published about 60 research papers in international conferences and journals. He has received awards in All India Technical Essay Contest and All India Electronic Design Competition. He is a member of IEEE, ACM, Eta Kappa Nu, Phi Kappa Phi.

    Contents:

    • Introduction
    • Multi/Infinite Dimensional Neural Networks, Multi/Infinite Dimensional Logic Theory
    • Multi/Infinite Dimensional Coding Theory: Multi/Infinite Dimensional Neural Networks—Constrained Static Optimization
    • Tensor State Space Representation: Multi Dimensional Systems
    • Unified Theory of Control, Communication and Computation: Multi dimensional Neural Networks
    • Complex Valued Neural Associative Memory on the Complex Hypercube
    • Optimal Binary Filters: Neural Networks
    • Linear Filter Model of a Synapse: Associated Novel Real/Complex Valued Neural Networks
    • Novel Complex Valued Neural Networks
    • Advanced Theory of Evolution of Living Systems.
    • Index


    Audience:
    Electronics,Computer,New Releases

     

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