Soft Computing by Sivanandam and Deepa: A Complete PDF Guide
Soft Computing by Sivanandam PDF Free Download: A Comprehensive Guide
Are you interested in learning about soft computing, a branch of artificial intelligence that deals with uncertain, imprecise, and complex problems? Do you want to read one of the best books on soft computing written by Dr. S.N. Sivanandam and Dr. S.N. Deepa? Do you want to know how to download the PDF version of the book for free? If you answered yes to any of these questions, then this article is for you.
soft computing by sivanandam pdf free download
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In this article, we will explain what soft computing is, what are its applications and benefits, and what is the book "Principles of Soft Computing" by Sivanandam and Deepa. We will also tell you how to download the PDF version of the book for free, and what are the legal and ethical issues involved in doing so. Finally, we will answer some frequently asked questions about soft computing and the book.
What is Soft Computing?
Soft computing is a term coined by Professor Lotfi Zadeh, the founder of fuzzy logic, to describe a collection of computational techniques that are inspired by natural phenomena and human reasoning. Soft computing techniques include neural networks, fuzzy logic, genetic algorithms, evolutionary computation, swarm intelligence, artificial immune systems, and more.
Definition and Characteristics of Soft Computing
According to Zadeh, soft computing is "a consortium of methodologies that work synergistically and provide flexible information processing capability for handling real-life ambiguous situations". In other words, soft computing is a way of solving problems that are not well-defined, have incomplete or noisy data, or require human-like intelligence.
Some of the main characteristics of soft computing are:
It can handle uncertainty, imprecision, vagueness, and partial truth.
It can learn from data and experience.
It can adapt to changing environments and situations.
It can approximate solutions that are optimal or satisfactory.
It can cooperate and collaborate with other methods and systems.
Applications and Benefits of Soft Computing
Soft computing has a wide range of applications in various domains such as engineering, science, medicine, business, education, art, and more. Some examples of soft computing applications are:
Pattern recognition and image processing
Data mining and knowledge discovery
Machine learning and artificial intelligence
Optimization and control
Robotics and automation
Bioinformatics and biomedicine
Natural language processing and speech recognition
E-commerce and web services
Computer games and entertainment
Creative design and art generation
Some of the benefits of soft computing are:
It can solve complex problems that are difficult or impossible for conventional methods.
It can improve the performance and efficiency of existing systems.
It can provide novel solutions and insights that are not obvious or intuitive.
It can enhance human capabilities and creativity.
It can facilitate interdisciplinary research and innovation.
What is the Book "Principles of Soft Computing" by Sivanandam and Deepa?
If you want to learn more about soft computing, one of the best books that you can read is "Principles of Soft Computing" by Dr. S.N. Sivanandam and Dr. S.N. Deepa. This book is a comprehensive and accessible introduction to the basic concepts, techniques, and applications of soft computing.
Overview and Contents of the Book
The book was first published in 2007 by Wiley India Pvt. Limited, and has 762 pages. It is divided into four parts, each covering a major soft computing technique: neural networks, fuzzy logic, genetic algorithms, and hybrid systems. Each part consists of several chapters that explain the theory, design, implementation, and examples of the technique. The book also comes with a CD that contains MATLAB programs and simulations for the various techniques.
The contents of the book are as follows:
Part
Title
Chapters
I
Neural Networks
1-10
II
Fuzzy Logic
11-18
III
Genetic Algorithms
19-24
IV
Hybrid Systems
25-28
Features and Reviews of the Book
The book has many features that make it a valuable resource for students, teachers, researchers, and practitioners of soft computing. Some of these features are:
It covers the latest developments and trends in soft computing.
It provides a clear and concise explanation of the concepts and techniques.
It uses numerous examples, illustrations, tables, graphs, and algorithms to demonstrate the techniques.
It includes exercises, review questions, and references at the end of each chapter.
It offers practical applications and case studies from various domains.
It gives MATLAB codes and simulations for the techniques on the CD.
It has a user-friendly layout and design.
The book has received positive reviews from many readers who have praised its content, style, and presentation. Some of the reviews are:
"This book is very useful for beginners as well as experts in soft computing. It covers all the topics in a systematic and lucid manner. The examples and applications are very relevant and interesting. The MATLAB codes are very helpful for implementing the techniques. I highly recommend this book to anyone who wants to learn soft computing." - Pranav Gupta, Scribd user
"This book is one of the best books on soft computing that I have ever read. It is very comprehensive and up-to-date. It explains the concepts very clearly and logically. The examples are very illustrative and practical. The exercises are challenging and useful. The CD is very handy and useful. This book is a must-have for anyone who is interested in soft computing." - Ravi Kumar, Google Books user
"This book is a great introduction to soft computing. It covers all the major techniques in a simple and easy way. The examples are very well-chosen and explained. The applications are very diverse and fascinating. The MATLAB codes are very easy to follow and run. This book is a great resource for students, teachers, researchers, and practitioners of soft computing." - Anil Kumar, Open Library user
How to Download the PDF Version of the Book for Free?
If you want to download the PDF version of the book for free, you might be tempted to search for it on the internet or use some online tools or services that claim to offer free PDF downloads. However, before you do that, you should be aware of some legal and ethical issues involved in doing so.
Legal and Ethical Issues of Downloading PDF Books for Free
Downloading PDF books for free without the permission or consent of the authors or publishers is illegal and unethical. It violates the intellectual property rights of the authors or publishers, who have invested their time, effort, money, and creativity in producing the books. It also deprives them of their rightful income and recognition for their work.
Downloading PDF books for free also harms the quality and credibility of the books. It exposes them to piracy, plagiarism, alteration, distortion, or deletion of content. Continuing the article. Sources and Methods of Downloading the PDF Book for Free
If you still want to download the PDF version of the book for free, despite the legal and ethical issues, you might find some sources and methods on the internet that claim to offer free PDF downloads. However, you should be careful and cautious when using these sources and methods, as they might have some risks and drawbacks. Some of these are:
They might be illegal or unethical, and you might face legal consequences or moral dilemmas.
They might be unreliable or outdated, and you might not get the complete or correct version of the book.
They might be infected or malicious, and you might harm your device or compromise your security or privacy.
They might be low-quality or poorly formatted, and you might have a bad reading experience or difficulty in accessing the book.
Some of the sources and methods that you might encounter are:
Online libraries or repositories that host free PDF books, such as Scribd, Google Books, or Open Library. However, these sites might not have the book you want, or they might require you to sign up, pay, or upload something in exchange for downloading the book.
Online tools or services that convert web pages or other formats into PDF files, such as Print Friendly & PDF, Web2PDF, or Online-Convert. However, these tools might not work well with complex layouts or graphics, or they might have limitations on file size or quality.
Online search engines or directories that index free PDF books, such as PDF Drive, PDF Search Engine, or Free PDF Books World. However, these sites might not be updated regularly, or they might link to broken or malicious downloads.
If you decide to use any of these sources and methods, you should always check the legality and legitimacy of the site, scan the file for viruses or malware, and use a VPN or proxy to protect your identity and location.
Conclusion
In conclusion, soft computing is a fascinating and useful field of artificial intelligence that can help you solve complex problems with human-like intelligence. If you want to learn more about soft computing, you should read the book "Principles of Soft Computing" by Sivanandam and Deepa, which is a comprehensive and accessible guide to the basic concepts, techniques, and applications of soft computing. However, if you want to download the PDF version of the book for free, you should be aware of the legal and ethical issues involved in doing so, and be careful and cautious when using any sources and methods that claim to offer free PDF downloads.
FAQs
Here are some frequently asked questions about soft computing and the book:
What are the differences between soft computing and hard computing?
Hard computing is a term that refers to conventional methods of computing that are based on logic, precision, determinism, and exactness. Hard computing techniques include mathematical modeling, symbolic logic, algorithmic analysis, and more. Hard computing works well with well-defined problems that have clear solutions. However, hard computing has limitations when dealing with uncertain, imprecise, vague, or complex problems that require human-like intelligence. Soft computing is a term that refers to alternative methods of computing that are based on approximation, tolerance, uncertainty, Continuing the article. and flexibility. Soft computing techniques include neural networks, fuzzy logic, genetic algorithms, and more. Soft computing can handle uncertain, imprecise, vague, or complex problems that require human-like intelligence. However, soft computing has limitations when dealing with well-defined problems that have clear solutions.
What are the advantages and disadvantages of soft computing?
Some of the advantages of soft computing are:
It can solve complex problems that are difficult or impossible for hard computing.
It can improve the performance and efficiency of existing systems.
It can provide novel solutions and insights that are not obvious or intuitive.
It can enhance human capabilities and creativity.
It can facilitate interdisciplinary research and innovation.
Some of the disadvantages of soft computing are:
It can be computationally expensive and time-consuming.
It can be difficult to interpret and explain the results.
It can be sensitive to noise and outliers.
It can lack accuracy and reliability.
It can require a lot of data and parameters.
Who are the authors of the book "Principles of Soft Computing"?
The authors of the book are Dr. S.N. Sivanandam and Dr. S.N. Deepa. Dr. S.N. Sivanandam is a professor and head of the Department of Computer Science and Engineering at PSG College of Technology in Coimbatore, India. He has published 12 books and over 700 papers on various topics related to computer science and engineering. He has also guided and co-guided 30 PhD research works and received several awards and honors for his contributions to the field. Dr. S.N. Deepa is an associate professor in the Department of Electrical and Electronics Engineering at PSG College of Technology in Coimbatore, India. She has published 5 books and over 200 papers on various topics related to electrical and electronics engineering. She has also guided and co-guided 10 PhD research works and received several awards and honors for her contributions to the field.
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