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Principles of Soft Computing

By: Contributor(s): Material type: TextTextPublication details: New Delhi Wiley India Pvt. Ltd 2025Edition: 3rdDescription: xxvii,760pISBN:
  • 9788126577132
Subject(s): DDC classification:
  • 006.32 SIV-P
Summary: This book is meant for a wide range of readers, who wish to learn the basic concepts of soft computing. It can also be useful for programmers, researchers and management experts who use soft computing techniques. The basic concepts of soft computing are dealt in detail with the relevant information and knowledge available for understanding the computing process. The various neural network concepts are explained with examples, highlighting the difference between various architectures. Fuzzy logic techniques have been clearly dealt with suitable examples. Genetic algorithm operators and the various classifications have been discussed in lucid manner, so that a starter can understand the concepts with a minimal effort.
Item type: Books and Monographs
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Item type Current library Home library Collection Call number Materials specified Status Date due Barcode
Books and Monographs Central Library, NIT Jalandhar General Stacks Central Library, NIT Jalandhar Computer Science and Engineering 006.32 SIV-P (Browse shelf(Opens below)) Available 102732
Books and Monographs Central Library, NIT Jalandhar General Stacks Central Library, NIT Jalandhar Computer Science and Engineering 006.32 SIV-P (Browse shelf(Opens below)) Available 102733
Books and Monographs Central Library, NIT Jalandhar General Stacks Central Library, NIT Jalandhar Computer Science and Engineering 006.32 SIV-P (Browse shelf(Opens below)) Available 102734

This book is meant for a wide range of readers, who wish to learn the basic concepts of soft computing. It can also be useful for programmers, researchers and management experts who use soft computing techniques. The basic concepts of soft computing are dealt in detail with the relevant information and knowledge available for understanding the computing process. The various neural network concepts are explained with examples, highlighting the difference between various architectures. Fuzzy logic techniques have been clearly dealt with suitable examples. Genetic algorithm operators and the various classifications have been discussed in lucid manner, so that a starter can understand the concepts with a minimal effort.

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