Neural Networks and Computing

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Neural Networks and Computing
Neural Networks and Computing

Neural Networks and Computing Book Description:

This book covers neural networks with special emphasis on advanced learning methodologies and applications.

It includes practical issues of weight initializations, stalling of learning, and escape from a local minima, which have not been covered by many existing books in this area.

Additionally, the book highlights the important feature selection problem, which baffles many neural networks practitioners because of the difficulties handling large datasets.

It also contains several interesting IT, engineering and bioinformatics applications.

  • Contents:
    • Learning Performance and Enhancement
    • Generalization and Performance Enhancement
    • Basis Function Networks for Classification
    • Self-Organizing Maps
    • Classification and Feature Selection
    • Engineering Applications

    Readership: Postgraduates and researchers in neural networks, pattern recognition and electrical and electronic engineering.

 


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