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| Author(s) | : | Samir Roy |
| | | Udit Chakraborty |
| ISBN | : | 9788131792469 |
| Imprint | : | Pearson Education |
| ©Year | : | 2013 |
| Release Date | : | 01/01/2013 |
| Binding | : | Paperback |
| List Price | : | INR 450.00 |
| Language | : | English |
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| Description |
Soft computing is a branch of computer science that deals with a family of methods that imitate human intelligence. This is done with the goal of creating tools that will contain some human-like capabilities (such as learning, reasoning and decision-making).
This book covers the entire gamut of soft computing, including fuzzy logic, rough sets, artificial neural networks, and various evolutionary algorithms. It offers a learner-centric approach where each new concept is introduced with carefully designed examples/instances to train the learner.
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| Features |
- Excellent pedagogy
- 80 unsolved and 230 solved questions
- More than 500 figures
- MCQs at the end of every chapter; more than 300 MCQs in total
- MATLAB implementation
- Summary at the end of every chapter
- Case studies to help the students get a practical perspective of the subject.
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| Contents |
Chapter 1. Introduction to Soft Computing
Chapter 2. Fuzzy Set Theory
Chapter 3. Fuzzy Logic
Chapter 4. Fuzzy Inference Systems
Chapter 5. Rough Sets
Chapter 6. Artificial Neural Networks
Chapter 7. Pattern Classification with ANN's
Chapter 8. Pattern Classification with ANN's
Chapter 9. Competitive Neural Nets
Chapter 10. Backpropagation
Chapter 11. Elementary Search Techniques
Chapter 12. Evolutionary Search Techniques
Chapter 13. Hybrid Systems |
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| About the Authors |
Samir Roy teaches at the Department of Computer Science & Engineering, National Institute of Technical Teachers' Training and Research (NITTTR), Kolkata, an autonomous institution under the Ministry of HRD, Government of India.
Udit K. Chakraborty is currently working with the Sikkim Manipal Institute of Technology as Associate Professor in the Department of Computer Science & Engineering.
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