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Author Nandi, Gypsy, author.

Title Principles of soft computing using Python programming : learn how to deploy soft computing models in real world applications / Gypsy Nandi.

Publication Info. [Hoboken, New Jersey] : IEEE Press; Wiley, [2024]
©2024

Copies

Location Call No. OPAC Message Status
 Axe 3rd Floor Stacks  006.3 N153p 2024    ---  Available
1 copy being processed for Axe Acquisitions Order.
Description xiv, 331 pages : illustrations, map ; 23 cm
text txt rdacontent
unmediated n rdamedia
volume nc rdacarrier
Note Includes index.
Contents About the author -- Preface -- 1: Fundamentals of soft computing -- 2: Fuzzy computing -- 3: Artificial neural network -- 4: Deep learning -- 5: Probabilistic reasoning -- 6 Population-based algorithms -- 7: Rough set theory -- 8: Hybrid systems -- Index.
Summary "Principles of soft computing using Python programming provides readers with the knowledge required to apply soft computing models and techniques to real computational problems. Beginning with a foundational discussion of soft or fuzzy computing and its differences from hard computing, it describes different models for soft computing and their many applications, both demonstrated and theoretical. The result is a set of tools with the potential to produce new solutions to the thorniest computing problems." -- back of book.
Subject Soft computing.
Python (Computer program language)
ISBN 9781394173136 hardcover
139417313X hardcover

 
    
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