Principles Of Soft Computing Sivanandam Deepa Ebook Readers

Principles Of Soft Computing Sivanandam Deepa Ebook ReadersPrinciples Of Soft Computing Sivanandam Deepa Ebook Readers

Principles of soft computing by Sivanandam and Deepa second edition here is the link to the required PDF enjoy: TB04_soft-computing-ebook.pdf Edit 1:do upvote if you. Buy Principles of Soft Computing, 2ed (WIND) by S.N. Sivanandam Book Online shopping at low Prices in India. Read Book information, ISBN:410.

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Author by: S.N.Sivanandam & S.N. Synthogy Ivory V1 5 Keygen Generator. Deepa Language: en Publisher by: John Wiley & Sons Format Available: PDF, ePub, Mobi Total Read: 51 Total Download: 881 File Size: 40,7 Mb Description: Market_Desc: B. Tech (UG) students of CSE, IT, ECE College Libraries Research Scholars Operational Research Management Sector Special Features: Dr. Sivanandam has published 12 books He has delivered around 150 special lectures of different specialization in Summer/Winter school and also in various Engineering colleges He has guided and co guided 30 PhD research works and at present 9 PhD research scholars are working under him The total number of technical publications in International/National Journals/Conferences is around 700 He has also received Certificate of Merit 2005-2006 for his paper from The Institution of Engineers (India) He has chaired 7 International Conferences and 30 National Conferences. He is a member of various professional bodies like IE (India), ISTE, CSI, ACS and SSI. He is a technical advisor for various reputed industries and engineering institutions His research areas include Modeling and Simulation, Neural Networks, Fuzzy Systems and Genetic Algorithm, Pattern Recognition, Multidimensional system analysis, Linear and Nonlinear control system, Signal and Image processing, Control System, Power system, Numerical methods, Parallel Computing, Data Mining and Database Security About The Book: This book is meant for a wide range of readers who wish to learn the basic concepts of soft computing. It can also be helpful 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 beginner can understand the concepts with minimal effort.

Author by: Patrick Wong Language: en Publisher by: Physica Format Available: PDF, ePub, Mobi Total Read: 38 Total Download: 539 File Size: 52,6 Mb Description: In the middle of the 20th century, Genrich Altshuller, a Russian engineer, analysed hundreds of thousands of patents and scientific publications. From this analysis, he developed TRIZ (G. Altshuller, '40 Principles: TRIZ Keys to Technical Innovation. TRIZ Tools,' Volume 1, First Edition, Technical Innovation Center, Inc., Worcester, MA, January 1998; Y. Salamatov, 'TRIZ: The Right Solution at the Right Time.

A Guide to Innovative Problem Solving. V., 1999), the theory of inventive problem solving, together with a series of practical tools for helping engineers solving technical problems. Among these tools and theories, the substance-field theory gives a structured way of representing problems, the patterns of evolution show the lifecycle of technical systems, the contradiction matrix tells you how to resolve technical contradictions, using the forty principles that describe common ways of improving technical systems. For example, if you want to increase the strength of a device, without adding too much extra weight to it, the contradiction matrix tells you that you can use 'Principle 1: Segmentation,' or 'Principle 8: Counterweight,' or 'Principle 15: Dynamicity,' or 'Principle 40: Composite Materials. ' I really like two particular ones: 'Principle 1: Segmentation,' and Principle 15: Dynamicity. ' 'Segmentation' shows how systems evolve from an initial monolithic form into a set of independent parts, then eventually increasing the number of parts until each part becomes small enough that it cannot be identified anymore. Author by: Bing-Yuan Cao Language: en Publisher by: Springer Science & Business Media Format Available: PDF, ePub, Mobi Total Read: 86 Total Download: 373 File Size: 42,7 Mb Description: Admittedly, the notion “intelligence or intelligent computing” has been around us for several decades, implicitly indicating any non-conventional methods of solving complex system problems such as expert systems and intelligent control techniques that mimic human skill and replace human operators for automation.

This entry was posted on 1/10/2018.