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Neural Networks & Fuzzy Logic | Dr. R.P. Das & L. Sreedhar | 1st Edition (2012) | S.K. Kataria & Sons (English Medium)
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| 230-295 |
[Shipping Cost = Standard Mode, Expedite Mode]
Neural Networks & Fuzzy Logic | Dr. R.P. Das & L. Sreedhar | 1st Edition (2012) | S.K. Kataria & Sons (English Medium)
"Neural Networks & Fuzzy Logic" by Dr. R.P. Das & L. Sreedhar is a comprehensive guide to understanding two important concepts in the field of artificial intelligence and machine learning. This 1st edition book, published in 2012 by S.K. Kataria & Sons in English medium, covers the fundamentals of neural networks and fuzzy logic with a practical approach. The book starts by introducing the basics of neural networks, including their structure, functioning, and different types such as feedforward neural networks, recurrent neural networks, and radial basis function networks. It also discusses the training algorithms used in neural networks like backpropagation and genetic algorithms. Moving on to fuzzy logic, the book explains how this mathematical concept is used to deal with uncertainty and imprecision in decision-making processes. Readers will learn about fuzzy sets, fuzzy rules, fuzzy inference systems, and applications of fuzzy logic in various fields such as control systems, pattern recognition, and data analysis. Throughout the book, the authors provide numerous examples and case studies to illustrate how neural networks and fuzzy logic can be applied in real-world scenarios. They also discuss the advantages and limitations of these technologies and provide tips for designing efficient neural network models and fuzzy systems. Whether you are a student studying artificial intelligence or a professional looking to expand your knowledge in this area, "Neural Networks & Fuzzy Logic" is a valuable resource that will help you grasp these complex concepts with ease. The clear explanations, practical examples, and hands-on exercises make this book suitable for beginners as well as advanced learners. In conclusion, "Neural Networks & Fuzzy Logic" is a must-have book for anyone interested in delving deeper into the fascinating world of artificial intelligence and machine learning. With its comprehensive coverage of neural networks and fuzzy logic combined with practical insights from industry experts, this book is sure to enhance your understanding of these cutting-edge technologies.
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"Neural Networks & Fuzzy Logic" by Dr. R.P. Das & L. Sreedhar is a comprehensive guide to understanding two important concepts in the field of artificial intelligence and machine learning. This 1st edition book, published in 2012 by S.K. Kataria & Sons in English medium, covers the fundamentals of neural networks and fuzzy logic with a practical approach. The book starts by introducing the basics of neural networks, including their structure, functioning, and different types such as feedforward neural networks, recurrent neural networks, and radial basis function networks. It also discusses the training algorithms used in neural networks like backpropagation and genetic algorithms. Moving on to fuzzy logic, the book explains how this mathematical concept is used to deal with uncertainty and imprecision in decision-making processes. Readers will learn about fuzzy sets, fuzzy rules, fuzzy inference systems, and applications of fuzzy logic in various fields such as control systems, pattern recognition, and data analysis. Throughout the book, the authors provide numerous examples and case studies to illustrate how neural networks and fuzzy logic can be applied in real-world scenarios. They also discuss the advantages and limitations of these technologies and provide tips for designing efficient neural network models and fuzzy systems. Whether you are a student studying artificial intelligence or a professional looking to expand your knowledge in this area, "Neural Networks & Fuzzy Logic" is a valuable resource that will help you grasp these complex concepts with ease. The clear explanations, practical examples, and hands-on exercises make this book suitable for beginners as well as advanced learners. In conclusion, "Neural Networks & Fuzzy Logic" is a must-have book for anyone interested in delving deeper into the fascinating world of artificial intelligence and machine learning. With its comprehensive coverage of neural networks and fuzzy logic combined with practical insights from industry experts, this book is sure to enhance your understanding of these cutting-edge technologies.
Search Keywords - Neural Networks & Fuzzy Logic book, Dr. R.P. Das & L. Sreedhar, 1st Edition (2012), S.K. Kataria & Sons publication, Artificial Intelligence books, Machine Learning textbooks, Neural Networks basics, Fuzzy Logic explained, Practical applications of neural networks, Case studies on fuzzy logic, Neural network training algorithms, Backpropagation explained, Genetic algorithms in AI, Fuzzy sets definition, Fuzzy rules examples, Fuzzy inference systems applications, Control systems using fuzzy logic, Pattern recognition with neural networks, Data analysis techniques with AI, Artificial Intelligence resources
Product Details
| SKU / BOOK Code: | SKKS-NNFL-RPDLS-1E-2012-(E) |
| Publisher: | S.K. Kataria and Sons |
| Author: | Dr. R.P. Das & L. Sreedhar |
| Binding Type: | Paperback |
| No. of Pages: | 250 |
| ISBN-10: | 9350142707 |
| ISBN-13: | 978-93-5014-270-7 |
| Edition: | 1st edition |
| Language: | English Medium |
| Publish Year: | 2012-01 |
| Weight (g): | 350 |
| Product Condition: | New |
| Reading Age: | Above 10 Years |
| Country of Origin: | India |
| Genre: | Textbooks & Study Guides |
| Manufacturer: | S.K. Kataria and Sons |
| Importer: | S.K. Kataria and Sons |
| Packer: | Fullfilled by Supplier |
Product Description
Neural Networks & Fuzzy Logic | Dr. R.P. Das & L. Sreedhar | 1st Edition (2012) | S.K. Kataria & Sons (English Medium)
"Neural Networks & Fuzzy Logic" by Dr. R.P. Das & L. Sreedhar is a comprehensive guide to understanding two important concepts in the field of artificial intelligence and machine learning. This 1st edition book, published in 2012 by S.K. Kataria & Sons in English medium, covers the fundamentals of neural networks and fuzzy logic with a practical approach. The book starts by introducing the basics of neural networks, including their structure, functioning, and different types such as feedforward neural networks, recurrent neural networks, and radial basis function networks. It also discusses the training algorithms used in neural networks like backpropagation and genetic algorithms. Moving on to fuzzy logic, the book explains how this mathematical concept is used to deal with uncertainty and imprecision in decision-making processes. Readers will learn about fuzzy sets, fuzzy rules, fuzzy inference systems, and applications of fuzzy logic in various fields such as control systems, pattern recognition, and data analysis. Throughout the book, the authors provide numerous examples and case studies to illustrate how neural networks and fuzzy logic can be applied in real-world scenarios. They also discuss the advantages and limitations of these technologies and provide tips for designing efficient neural network models and fuzzy systems. Whether you are a student studying artificial intelligence or a professional looking to expand your knowledge in this area, "Neural Networks & Fuzzy Logic" is a valuable resource that will help you grasp these complex concepts with ease. The clear explanations, practical examples, and hands-on exercises make this book suitable for beginners as well as advanced learners. In conclusion, "Neural Networks & Fuzzy Logic" is a must-have book for anyone interested in delving deeper into the fascinating world of artificial intelligence and machine learning. With its comprehensive coverage of neural networks and fuzzy logic combined with practical insights from industry experts, this book is sure to enhance your understanding of these cutting-edge technologies.
Search Keywords - Neural Networks & Fuzzy Logic book, Dr. R.P. Das & L. Sreedhar, 1st Edition (2012), S.K. Kataria & Sons publication, Artificial Intelligence books, Machine Learning textbooks, Neural Networks basics, Fuzzy Logic explained, Practical applications of neural networks, Case studies on fuzzy logic, Neural network training algorithms, Backpropagation explained, Genetic algorithms in AI, Fuzzy sets definition, Fuzzy rules examples, Fuzzy inference systems applications, Control systems using fuzzy logic, Pattern recognition with neural networks, Data analysis techniques with AI, Artificial Intelligence resources
"Neural Networks & Fuzzy Logic" by Dr. R.P. Das & L. Sreedhar is a comprehensive guide to understanding two important concepts in the field of artificial intelligence and machine learning. This 1st edition book, published in 2012 by S.K. Kataria & Sons in English medium, covers the fundamentals of neural networks and fuzzy logic with a practical approach. The book starts by introducing the basics of neural networks, including their structure, functioning, and different types such as feedforward neural networks, recurrent neural networks, and radial basis function networks. It also discusses the training algorithms used in neural networks like backpropagation and genetic algorithms. Moving on to fuzzy logic, the book explains how this mathematical concept is used to deal with uncertainty and imprecision in decision-making processes. Readers will learn about fuzzy sets, fuzzy rules, fuzzy inference systems, and applications of fuzzy logic in various fields such as control systems, pattern recognition, and data analysis. Throughout the book, the authors provide numerous examples and case studies to illustrate how neural networks and fuzzy logic can be applied in real-world scenarios. They also discuss the advantages and limitations of these technologies and provide tips for designing efficient neural network models and fuzzy systems. Whether you are a student studying artificial intelligence or a professional looking to expand your knowledge in this area, "Neural Networks & Fuzzy Logic" is a valuable resource that will help you grasp these complex concepts with ease. The clear explanations, practical examples, and hands-on exercises make this book suitable for beginners as well as advanced learners. In conclusion, "Neural Networks & Fuzzy Logic" is a must-have book for anyone interested in delving deeper into the fascinating world of artificial intelligence and machine learning. With its comprehensive coverage of neural networks and fuzzy logic combined with practical insights from industry experts, this book is sure to enhance your understanding of these cutting-edge technologies.
Search Keywords - Neural Networks & Fuzzy Logic book, Dr. R.P. Das & L. Sreedhar, 1st Edition (2012), S.K. Kataria & Sons publication, Artificial Intelligence books, Machine Learning textbooks, Neural Networks basics, Fuzzy Logic explained, Practical applications of neural networks, Case studies on fuzzy logic, Neural network training algorithms, Backpropagation explained, Genetic algorithms in AI, Fuzzy sets definition, Fuzzy rules examples, Fuzzy inference systems applications, Control systems using fuzzy logic, Pattern recognition with neural networks, Data analysis techniques with AI, Artificial Intelligence resources
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