- Principles Of Soft Computing Sivanandam Deepa Ebook Download Online
- Principles Of Soft Computing Sivanandam Deepa Ebook Download Pdf
Principles Of Soft Computing, 2Nd Ed by S.N. Sivanandam, S.N. Deepa
Nice to have you back. We have memorized your details. All you need to do is click 'download'. This book gives an introduction to Soft Computing, which aims to exploit tolerance for imprecision, uncertainty, approximate reasoning, and partial truth in order to achieve close resemblance with human like decision making. Soft Computing is a new multidisciplinary field, to construct new generation of Artificial Intelligence, known as Computational Intelligence. Find the book you need Go! Price: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. PRINCIPLES OF SOFT COMPUTING (With CD ) S.N.Sivanandam & S.N.Deepa. B28dd56074 Principles Of Soft Computing Sivanandam Deepa Ebook Torrents Free PDF ebooks user s guide manuals sheets about Principles of soft computing sivanandam deepa Hybrid Soft Computing Techniques Chapter 17 In this book the basic concepts of soft computing are dealt in detail with the relevant information and knowledge 3 / 11. Soft computing techniques for multimedia social. Soft Computing Techniques. Sivanandam S N and Deepa S N. Principles of Embedded Computing System Design Harcourt India Pvt. Five Key Principles of Corporate Performance Management. Soft power and US foreign policy. S.N.Sivanandam & S.N.Deepa: 2008: Rp. Intelligent Computing Pdf - Ebooks Download.
File Name: principles of soft computing 2nd edition pdf free download.zip
Published 03.06.2019
Published by Wiley India Pvt. Ltd., In this book the basic concepts of soft computing are dealt in detail with the relevant information and knowledge available for understanding the computing process. Fuzzy logic techniques have been clearly dealt with suitable examples.
It seems that you're in Germany. We have a dedicated site for Germany. Ideally speaking, soft computing is not a subject of homogeneous concepts and techniques; rather, it is an amalgamation of distinct methods that confirms to its guiding principle. At present, the main aim of soft computing is to exploit the tolerance for imprecision and uncertainty to achieve tractability, robustness and low solutions cost. The principal constituents of soft computing techniques are probabilistic reasoning, fuzzy logic, neuro-computing, genetic algorithms, belief networks, chaotic systems, as well as learning theory. This book covers contributions from various authors to demonstrate the use of soft computing techniques in various applications of engineering.
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It seems that you're in Germany. We have a dedicated site for Germany. This book discusses the applications of different soft computing techniques for the web-based systems and services. The respective chapters highlight recent developments in the field of soft computing applications, from web-based information retrieval to online marketing and online healthcare. In each chapter author endeavor to explain the basic ideas behind the proposed applications in an accessible format for readers who may not possess a background in these fields.
Soft Computing is a complex of methodologies that embraces approximate reasoning, imprecision, uncertainty and partial truth in order to mimic the remarkable human capability of making decisions in real-life, ambiguous environments. Soft Computing has therefore become popular in developing systems that encapsulate human expertise. This carefully edited book provides a comprehensive overview of the recent advances in the industrial applications of soft computing and covers a wide range of application areas, including optimisation, data analysis and data mining, computer graphics and vision, prediction and diagnosis, design, intelligent control, and traffic and transportation systems. The book is aimed at researchers and professional engineers who are engaged in developing and applying intelligent systems. It is also suitable as wider reading for science and engineering postgraduate students. Skip to main content Skip to table of contents.
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