Soft Computing
Price: 1250.00 INR
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ISBN:
9780199455423
Publication date:
14/05/2015
Paperback
Price: 1250.00 INR
We sell our titles through other companies
Disclaimer :You will be redirected to a third party website.The sole responsibility of supplies, condition of the product, availability of stock, date of delivery, mode of payment will be as promised by the said third party only. Prices and specifications may vary from the OUP India site.
ISBN:
9780199455423
Publication date:
14/05/2015
Paperback
First Edition
Rights: World Rights
First Edition
Description
Soft Computing with MATLAB Programming is a textbook designed for undergraduate students of computer science, information technology, electrical and electronics, and electronics and communication engineering as well as those pursuing an MCA degree. It aims to familiarize students with soft computing fundamentals and approaches to solving real-world problems.
It provides a comprehensive coverage of all the major constituents of soft computing, viz., expert systems, neural networks, fuzzy logic, and evolutionary computation including evolutionary algorithms, genetic algorithms, and swarm intelligence techniques. Most of the swarm-based algorithms have been implemented and explained in an easy step-by-step approach using MATLAB programming.
The book offers exhaustive coverage on artificial neural networks (ANNs) and fuzzy logic. Beginning with an overview of Soft Computing, it discusses in detail the ANN tracking in all the three generations of neural networks and their developments. These are followed by a detailed discussion on fuzzy logic and its features and applications, and genetic algorithm operators such as crossover and mutation with suitable examples and illustrations. Finally, swarm intelligent systems are illustrated in detail, discussing the engineering applications of particle swarm intelligent systems.
MATLAB codes have been used throughout the text to illustrate the applications of the concepts discussed
First Edition
Table of contents
Chapter 1: Introduction to Soft Computing
Chapter 2: Artificial Neural Networks - First Generation
Chapter 3: Artificial Neural Networks - Second Generation
Chapter 4: Artificial Neural Networks - Third Generation
Chapter 5: Fuzzy Logic
Chapter 6: Fuzzy Logic Applications
Chapter 7: Genetic Algorithms and Evolutionary Programming
Chapter 8: Swarm Intelligent System
Appendix A: Model Question Papers
Appendix B: MATLAB Tutorial
First Edition
Features
- Discusses swarm intelligence systems with their fundamental concepts of exploration and exploitation
- Elaborates on Artificial Bee Colony algorithm and Cuckoo Search algorithm with suitable applications
- Provides more than 25 MATLAB programs with step-by-step comments and 75 solved problems
- Discusses swarm intelligent systems
- Online Resources
- For Faculty
- PowerPoint Slides
- Solutions Manual
- For Students
- Additional MATLAB Codes and Exercises
- Solutions to Model Question Papers
First Edition
Description
Soft Computing with MATLAB Programming is a textbook designed for undergraduate students of computer science, information technology, electrical and electronics, and electronics and communication engineering as well as those pursuing an MCA degree. It aims to familiarize students with soft computing fundamentals and approaches to solving real-world problems.
It provides a comprehensive coverage of all the major constituents of soft computing, viz., expert systems, neural networks, fuzzy logic, and evolutionary computation including evolutionary algorithms, genetic algorithms, and swarm intelligence techniques. Most of the swarm-based algorithms have been implemented and explained in an easy step-by-step approach using MATLAB programming.
The book offers exhaustive coverage on artificial neural networks (ANNs) and fuzzy logic. Beginning with an overview of Soft Computing, it discusses in detail the ANN tracking in all the three generations of neural networks and their developments. These are followed by a detailed discussion on fuzzy logic and its features and applications, and genetic algorithm operators such as crossover and mutation with suitable examples and illustrations. Finally, swarm intelligent systems are illustrated in detail, discussing the engineering applications of particle swarm intelligent systems.
MATLAB codes have been used throughout the text to illustrate the applications of the concepts discussed
Table of contents
Chapter 1: Introduction to Soft Computing
Chapter 2: Artificial Neural Networks - First Generation
Chapter 3: Artificial Neural Networks - Second Generation
Chapter 4: Artificial Neural Networks - Third Generation
Chapter 5: Fuzzy Logic
Chapter 6: Fuzzy Logic Applications
Chapter 7: Genetic Algorithms and Evolutionary Programming
Chapter 8: Swarm Intelligent System
Appendix A: Model Question Papers
Appendix B: MATLAB Tutorial
