Soft Computing

By:

D.K. Pratihar

Material type: Text

TextPublication details: New Delhi Narosa Publishing House 2008Description: xx,229p. : ill ; 25 cmISBN:

9788173198663

Subject(s):

Soft Computing-Neural Computing,Evolutionary Computing,Machine Learning

DDC classification:

006.3 PRA-S .CM

Contents:

Introduction / Optimization and Some Traditional Methods / Introduction to Genetic Algorithms / Some Specialized Genetic Algorithms / Introduction to Fuzzy Sets / Fuzzy Reasoning and Clustering / Fundamentals of Neural Networks / Some Examples of Neural Networks / Combined Genetic Algorithms: Fuzzy Logic / Combined Genetic Algorithms: Neural Networks / Combined Neural Networks: Fuzzy Logic.

Summary: Offers an introduction to soft computing, a family consisting of many members, namely Genetic Algorithms (GAs), Fuzzy Logic (FL), Neural Networks (NNs) and others. In this book, the working cycle of a GA is explained in detail. It discusses the mechanisms of some specialized Gas with examples.

Tags from this library: No tags from this library for this title. Log in to add tags.

Holdings
Item type	Current library	Home library	Call number	Status	Date due	Barcode
Book	Dept. of Computational Biology and Bioinformatics Processing Center	Dept. of Computational Biology and Bioinformatics	006.3 PRA-S .CM (Browse shelf(Opens below))	Available		DCB1495

Browsing Dept. of Computational Biology and Bioinformatics shelves, Shelving location: Processing Center Close shelf browser (Hides shelf browser)

Previous								Next
Previous	006.3 NIL.A Artificial Intelligence: A New Synthesis	006.3 NOR-B Beginning artificial intelligence with the Raspberry Pi	006.3 OSI-A Artificial Intelligence : 5th RAAI Summer School, Dolgoprudny, Russia, July 4-7, 2019, Tutorial Lectures	006.3 PRA-S .CM Soft Computing	006.3 RAJ -N Neural Networks, Fuzzy Logic and Genetic Algorithms	006.3 RAJ -N Neural Networks, Fuzzy Logic and Genetic Algorithms	006.3 ROI-D Data Mining : A Tutorial Based Primer	Next

Offers an introduction to soft computing, a family consisting of many members, namely Genetic Algorithms (GAs), Fuzzy Logic (FL), Neural Networks (NNs) and others. In this book, the working cycle of a GA is explained in detail. It discusses the mechanisms of some specialized Gas with examples.

There are no comments on this title.

to post a comment.