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Fundamentals of Soft Computing | K. Vinoth Kumar | 2nd Edition (2012) | S.K. Kataria & Sons | English Medium
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Fundamentals of Soft Computing | K. Vinoth Kumar | 2nd Edition (2012) | S.K. Kataria & Sons | English Medium
Fundamentals of Soft Computing is a comprehensive textbook written by K. Vinoth Kumar that covers the basics of soft computing techniques and their applications in various fields. This second edition, published in 2012 by S.K. Kataria & Sons, has been updated with the latest advancements in the field to provide students and professionals with a thorough understanding of this rapidly growing area of study. The book begins with an introduction to soft computing and its various components, including fuzzy logic, neural networks, genetic algorithms, and evolutionary computation. Each chapter delves into these topics in detail, explaining the underlying principles and algorithms used in each technique. Real-world examples and case studies are provided throughout the book to help readers understand how soft computing techniques can be applied to solve complex problems in different domains. Fundamentals of Soft Computing also includes chapters on hybrid systems, which combine multiple soft computing techniques to improve performance and efficiency. The book discusses the advantages of using hybrid systems over individual techniques and provides guidance on how to design and implement them effectively. In addition to theoretical concepts, this book also covers practical aspects of soft computing, such as software tools and programming languages commonly used in implementing these techniques. Readers will learn how to use popular software packages like MATLAB and Python to develop their own soft computing applications. Whether you are a student looking to expand your knowledge of soft computing or a professional seeking new tools for solving complex problems, Fundamentals of Soft Computing is an invaluable resource that will help you master this exciting field.
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Fundamentals of Soft Computing is a comprehensive textbook written by K. Vinoth Kumar that covers the basics of soft computing techniques and their applications in various fields. This second edition, published in 2012 by S.K. Kataria & Sons, has been updated with the latest advancements in the field to provide students and professionals with a thorough understanding of this rapidly growing area of study. The book begins with an introduction to soft computing and its various components, including fuzzy logic, neural networks, genetic algorithms, and evolutionary computation. Each chapter delves into these topics in detail, explaining the underlying principles and algorithms used in each technique. Real-world examples and case studies are provided throughout the book to help readers understand how soft computing techniques can be applied to solve complex problems in different domains. Fundamentals of Soft Computing also includes chapters on hybrid systems, which combine multiple soft computing techniques to improve performance and efficiency. The book discusses the advantages of using hybrid systems over individual techniques and provides guidance on how to design and implement them effectively. In addition to theoretical concepts, this book also covers practical aspects of soft computing, such as software tools and programming languages commonly used in implementing these techniques. Readers will learn how to use popular software packages like MATLAB and Python to develop their own soft computing applications. Whether you are a student looking to expand your knowledge of soft computing or a professional seeking new tools for solving complex problems, Fundamentals of Soft Computing is an invaluable resource that will help you master this exciting field.
Search Keywords - Fundamentals of Soft Computing, Soft Computing Techniques, K. Vinoth Kumar Books, S.K. Kataria & Sons Publications, Soft Computing Applications, Neural Networks Basics, Fuzzy Logic Introduction, Genetic Algorithms Explained, Evolutionary Computation Overview, Hybrid Systems in Soft Computing, Implementing Soft Computing Techniques, Real-World Examples of Soft Computing, Latest Advances in Soft Computing, Practical Aspects of Soft Computing, Software Tools for Soft Computing, MATLAB for Soft Computing Applications, Python Programming for Soft Computing, 18 .Benefits of Hybrid Systems, 19 .Soft Computing Case Studies, 20 .Soft Computing Textbook
Product Details
SKU / BOOK Code: | SKKS-FSC-KVK-2E2012-(E) |
Publisher: | S.K. Kataria and Sons |
Author: | K. Vinoth Kumar |
Binding Type: | Paperback |
No. of Pages: | 425 |
ISBN-10: | 9350141168 |
ISBN-13: | 9789350141168 |
Edition: | 2nd Edition |
Language: | English Medium |
Publish Year: | 2012-01 |
Weight (g): | 700 |
Product Condition: | New |
Reading Age: | Above 10 Years |
Country of Origin: | India |
Genre: | Computers & Internet |
Manufacturer: | S.K. Kataria and Sons |
Importer: | S.K. Kataria and Sons |
Packer: | Fullfilled by Supplier |
Product Description
Fundamentals of Soft Computing | K. Vinoth Kumar | 2nd Edition (2012) | S.K. Kataria & Sons | English Medium
Fundamentals of Soft Computing is a comprehensive textbook written by K. Vinoth Kumar that covers the basics of soft computing techniques and their applications in various fields. This second edition, published in 2012 by S.K. Kataria & Sons, has been updated with the latest advancements in the field to provide students and professionals with a thorough understanding of this rapidly growing area of study. The book begins with an introduction to soft computing and its various components, including fuzzy logic, neural networks, genetic algorithms, and evolutionary computation. Each chapter delves into these topics in detail, explaining the underlying principles and algorithms used in each technique. Real-world examples and case studies are provided throughout the book to help readers understand how soft computing techniques can be applied to solve complex problems in different domains. Fundamentals of Soft Computing also includes chapters on hybrid systems, which combine multiple soft computing techniques to improve performance and efficiency. The book discusses the advantages of using hybrid systems over individual techniques and provides guidance on how to design and implement them effectively. In addition to theoretical concepts, this book also covers practical aspects of soft computing, such as software tools and programming languages commonly used in implementing these techniques. Readers will learn how to use popular software packages like MATLAB and Python to develop their own soft computing applications. Whether you are a student looking to expand your knowledge of soft computing or a professional seeking new tools for solving complex problems, Fundamentals of Soft Computing is an invaluable resource that will help you master this exciting field.
Search Keywords - Fundamentals of Soft Computing, Soft Computing Techniques, K. Vinoth Kumar Books, S.K. Kataria & Sons Publications, Soft Computing Applications, Neural Networks Basics, Fuzzy Logic Introduction, Genetic Algorithms Explained, Evolutionary Computation Overview, Hybrid Systems in Soft Computing, Implementing Soft Computing Techniques, Real-World Examples of Soft Computing, Latest Advances in Soft Computing, Practical Aspects of Soft Computing, Software Tools for Soft Computing, MATLAB for Soft Computing Applications, Python Programming for Soft Computing, 18 .Benefits of Hybrid Systems, 19 .Soft Computing Case Studies, 20 .Soft Computing Textbook
Fundamentals of Soft Computing is a comprehensive textbook written by K. Vinoth Kumar that covers the basics of soft computing techniques and their applications in various fields. This second edition, published in 2012 by S.K. Kataria & Sons, has been updated with the latest advancements in the field to provide students and professionals with a thorough understanding of this rapidly growing area of study. The book begins with an introduction to soft computing and its various components, including fuzzy logic, neural networks, genetic algorithms, and evolutionary computation. Each chapter delves into these topics in detail, explaining the underlying principles and algorithms used in each technique. Real-world examples and case studies are provided throughout the book to help readers understand how soft computing techniques can be applied to solve complex problems in different domains. Fundamentals of Soft Computing also includes chapters on hybrid systems, which combine multiple soft computing techniques to improve performance and efficiency. The book discusses the advantages of using hybrid systems over individual techniques and provides guidance on how to design and implement them effectively. In addition to theoretical concepts, this book also covers practical aspects of soft computing, such as software tools and programming languages commonly used in implementing these techniques. Readers will learn how to use popular software packages like MATLAB and Python to develop their own soft computing applications. Whether you are a student looking to expand your knowledge of soft computing or a professional seeking new tools for solving complex problems, Fundamentals of Soft Computing is an invaluable resource that will help you master this exciting field.
Search Keywords - Fundamentals of Soft Computing, Soft Computing Techniques, K. Vinoth Kumar Books, S.K. Kataria & Sons Publications, Soft Computing Applications, Neural Networks Basics, Fuzzy Logic Introduction, Genetic Algorithms Explained, Evolutionary Computation Overview, Hybrid Systems in Soft Computing, Implementing Soft Computing Techniques, Real-World Examples of Soft Computing, Latest Advances in Soft Computing, Practical Aspects of Soft Computing, Software Tools for Soft Computing, MATLAB for Soft Computing Applications, Python Programming for Soft Computing, 18 .Benefits of Hybrid Systems, 19 .Soft Computing Case Studies, 20 .Soft Computing Textbook
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