Neural Network and Fuzzy Logic Books

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We have compiled the list of Best Reference Books on Neural Network and Fuzzy Logic subject. These books are used by students of top universities, institutes and colleges. Here is the full list of best books on Neural Network and Fuzzy Logic along with reviews.

Kindly note that we have put a lot of effort into researching the best books on Neural Network and Fuzzy Logic subject and came out with a recommended list of best books. The table below contains the Name of these best books, their authors, publishers and an unbiased review of books on “Neural Network and Fuzzy Logic” as well as links to the Amazon website to directly purchase these books. As an Amazon Associate, we earn from qualifying purchases, but this does not impact our reviews, comparisons, and listing of these top books; the table serves as a ready reckoner list of these best books.

List of Neural Network and Fuzzy Logic Books with author’s names, publishers, and an unbiased review as well as links to the Amazon website to directly purchase these books.

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1. Neural Network and Fuzzy Logic

1. “Neural Networks A Comprehensive Foundation” by Simon Haykin

Book Review: The various topics covered in the book are feedforward networks, back propagation, self-organizing maps, PCA and hierarchical machines. This book being highly inspired by biology models brain function and structure. There are many network models like adaptive resonance theory, BCS/FCS, integrate and fire models and many more. There are many applications like pattern recognition, image processing, clustering and this book is very useful to graduates and advanced undergraduates.

2. “Artificial Neural Networks” by B Yegnanarayana

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Book Review: This book explains the fundamentals of computing with models of artificial neural networks and is very useful for practicing engineers and research scientists. This book presents the emerging and exciting areas of artificial neural networks with many features. The book stresses on pattern processing features of neural networks. The book also includes real world applications of neural networks in speech and image processing. The topics included in the book are activation and synaptic dynamics, learning laws and analysis of feedforward and feedback neural networks and complex pattern recognition architectures.

3. “Introduction to Artificial Neural Systems” by Jacek M Zurada

Book Review: The author explains all the concepts in very simple terminologies. The author has covered all the learning algorithms with their advantages, disadvantages and their stability. This is a very important book for neural engineers because it covers the entire subject in depth. The book helps the readers to very nicely implement the ideas in software.

4. “Neural Network Fundamentals with Graphs, Algorithms and applications” by N K Bose and P Liang

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Book Review: This book is suitable for students at the graduate and undergraduate levels in the field of neural networks and neurocomputing. This book describes neural network theory for many diverse applications. The book presents neural network theory for many applications in a unique manner. The structures of artificial neural networks in the book are distinguished by various classes of graphs. The book also covers the concepts of artificial intelligence, intelligent systems along with many examples, exercises and graphics. The book includes precise analysis of perceptron and lms-theory based neural networks. Further it covers multilayer feedforward networks and self-organizing competitive learning neural networks.

5. “Fundamentals of Neural Networks: Architectures, Algorithms and Applications” by FAUSETT

“Fundamentals of Neural Networks: Architectures, Algorithms and Applications” Book Review: This book includes information about introduction to neural networks which is written in an easy to read language. The book covers systematic discussions of major neural networks and also presents all the fundamentals relating to it. Examples and illustrations present in the book helps the reader understand concepts better.


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2. Fuzzy Logic and Applications

1. “Fuzzy Logic with Engineering Applications” by Timothy J Ross

“Fuzzy Logic with Engineering Applications” Book Review: This book is designed in a student-friendly manner and mainly contains major advances with fuzzy logic. It also covers illustrations and examples using MATLAB code which helps the reader in learning all the basic operations. The generation of membership functions, and all the specialized applications is also covered in this book. This book covers the latest advancements in the field of fuzzy logic with the inclusion of MLFE methods using genetic algorithms, cognitive mapping, fuzzy agent based models and total uncertainty. The book eliminates redundant topics and is directed towards many methods and techniques. Every chapter in the book has been revised thereby including new illustrations and examples throughout. The other chapters included in the book are basic operations, membership function generation and specialized applications. This book contains genetic algorithms, cognitive mapping, fuzzy agent-based models, and overall uncertainty. The book also contains the final question for the segment. This book will act as a guide for undergraduate electrical engineering students.
2. “Fuzzy Set Theory Fuzzy Logic and their Applications” by Bhargava A K

“Fuzzy Set Theory Fuzzy Logic and their Applications” Book Review: This book is designed for postgraduate students in different engineering colleges. It acts as a textbook for students to learn the basics of fuzzy set theory, fuzzy logic and encourages them to make new applications. This book covers the mathematical part of fuzzy set theory and fuzzy logic which makes solving problems and learning theory easier for readers. It is illustrated with examples and with new techniques to help the reader gain the adequate knowledge about the subject. This book will act as a guide for undergraduate electrical engineering students.
3. “Neural Networks, Fuzzy Logic and Genetic Algorithms: Synthesis and Applications (Computer)” by S Rajasekaran and G A Vijayalakshmi Pai

“Neural Networks, Fuzzy Logic and Genetic Algorithms: Synthesis and Applications (Computer)” Book Review: This book is designed for undergraduate and 1st year postgraduate students in the field of engineering. It can also help researchers and academicians widely. The book covers technologies behind soft computing linked with computational intelligence. It consists of topics like Networks Associative Memory Adaptive Resonance Theory and Neural Networks, Fundamentals of Neural Networks Backpropagation, Fuzzy Systems and Fuzzy Set Theory and much more. The book also describes the FL-GA hybridisation in detail along with vivid examples from various architectures. Detailed information about various architectures of technology is included in this book. In addition, a CD-ROM is provided with the book for practical representation of concepts.

4. “Type-2 Fuzzy Logic: Theory and Applications (Studies in Fuzziness and Soft Computing)” by Oscar Castillo and Patricia Melin

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“Type-2 Fuzzy Logic: Theory and Applications (Studies in Fuzziness and Soft Computing)” Book Review: This book acts as a textbook in many universities and can also be used as a major reference tool. It discusses new ways of building intelligent systems using type-2 fuzzy logic and soft computing (SC) techniques. The book combines type-2 fuzzy logic with traditional SC techniques to build more powerful hybrid intelligent systems using the advantages each technique offers.

5. “Introduction To Type–2 Fuzzy Logic Control: Theory and Applications (IEEE Press Series on Computational Intelligence)” by Jerry Mendel and Hani Hagras

“Introduction To Type–2 Fuzzy Logic Control: Theory and Applications (IEEE Press Series on Computational Intelligence)” Book Review: This book is mainly designed for engineers, researchers and graduate students who want to gain knowledge about type-2 fuzzy logic control. It describes experimental and simulation results with reference to downloadable computer programs. The book includes type-2 fuzzy logic background chapters along with a literature survey on both fuzzy-logic and related type-2 fuzzy control. Illustrative examples provide a reference for readers to understand the topics better.

6. “Fuzzy Logic For Business, Finance, And Management (2nd Edition) (Advances In Fuzzy Systems-applications And Theory)” by George Bojadziev and Maria Bojadziev

“Fuzzy Logic For Business, Finance, And Management (2nd Edition) (Advances In Fuzzy Systems-applications And Theory)” Book Review: This book attracts readers from business, finance, management and socio-economic sciences based on fuzzy logic. It acts as a reference for forecasting, decision making and evaluations in an environment. The book discusses the use of human experience and judgement to facilitate relatable reasoning in fuzzy logic to reach a conclusion.

7. “Fuzzy Logic and Its Application to Technology and Management” by Dhruba Chakraborty and S. Nanda

“Fuzzy Logic and Its Application to Technology and Management” Book Review: This book is designed with mathematical information related to fuzzy logic and also consists of information technology and operations management. It covers the application of fuzzy logic in the recent technologies and management schemes. Engineers and technologists can use this book to enhance knowledge about fuzzy logic and its application in different fields.

8. “Fuzzy Logic: Applications, Systems and Technologies (Mathematics Research Developments)” by Dinko Vukadinovic

“Fuzzy Logic: Applications, Systems and Technologies (Mathematics Research Developments)” Book Review: This book presents fuzzy theory for solving engineering problems with uncertainties. It discusses an inference structure which enables the human reasoning capabilities to be applied to artificial knowledge-based systems. The book is filled with examples of fuzzy logic applications in electrical, chemical, computer and textile engineering written in a simple and easy to understand language.

9. “Fuzzy Logic Foundations and Industrial Applications (International Series in Intelligent Technologies)” by imusti

“Fuzzy Logic Foundations and Industrial Applications (International Series in Intelligent Technologies)” Book Review: This book describes industrial applications relating to fuzzy set theory. It acts as a reference for researchers and industrial engineers. This book is written by many leading and recognisable researchers around the globe including Ronald Yager, Ellen Hisdal, Etienne Kerre, and others. It also covers information about the recent research results and the recent applications of fuzzy logic.

10. “Fuzzy Logic: Intelligence, Control, and Information” by J Yen and R Langari

“Fuzzy Logic: Intelligence, Control, and Information” Book Review: This book discusses the fuzzy principles and techniques of logic in intelligent systems, information technology and control. It introduces the connection between fuzzy logic, related concepts, techniques and theories. This book will be useful for undergraduate electrical engineering students.

11. “Fuzzy Sets and Fuzzy Logic: Theory and Applications” by G J Klir and B Yuan

“Fuzzy Sets and Fuzzy Logic: Theory and Applications” Book Review: This book discusses the theoretical foundations of fuzzy set theory and fuzzy logic. Basic concepts are also explained, such as neural networks, general algorithms and rough collections. It covers various topics, such as fuzzy sets, crisp sets, fuzzy databases, fuzzy decision-making and applications for engineering. This book will be beneficial for undergraduate electrical engineering students.

12. “Fuzzy Set theory and its Applications” by H J Zimmermann

“Fuzzy Set theory and its Applications” Book Review: This book discusses the theoretical foundations of fuzzy set theory and fuzzy logic. It includes various topics, such as fuzzy logic, rough reasoning, fuzzy control, fuzzy data analysis, decision-making and fuzzy modeling. This book will act as a guide for undergraduate electrical engineering students.

13. “Fuzzy Sets and Fuzzy Logic: Theory and A: Theory and Applications” by George J Klir / Bo Yuan

“Fuzzy Sets and Fuzzy Logic: Theory and A: Theory and Applications” Book Review: This book discusses the theoretical foundations of fuzzy set theory and fuzzy logic. It covers various topics, such as fuzzy sets, crisp sets, fuzzy databases, fuzzy decision-making and applications for engineering. It includes the collection of exercises followed by each chapter. This book will be beneficial for undergraduate electrical engineering students.

14. “Fuzzy Sets And Applications” by Sudhir K
15. “Applications of Fuzzy Sets Theory” by Sushmita Mitra and Gabriella Pasi
16. “Introduction to Fuzzy Logic using MATLAB” by S N Sivanandam and S Sumathi

“Introduction to Fuzzy Logic using MATLAB” Book Review: This book discusses Fuzzy Logic’s basics. It contains numerous fixed examples. The book also deals with Fuzzy Logic problems. This book will be useful for researchers and undergraduate electrical engineering students.

17. “Practical Applications of Fuzzy Technologies (The Handbooks of Fuzzy Sets)” by Hans-Jürgen Zimmermann

“Practical Applications of Fuzzy Technologies (The Handbooks of Fuzzy Sets)” Book Review: The focus of this book is on the model and actual implementations of fuzzy sets. It is divided into four main components, such as engineering and natural sciences, medicine, leadership, behavioral and social sciences. This book beneficial practitioners of fuzzy technology, scientists and students.


4. Neural Nets, Fuzzy Systems and Applications

1. “Neural Networks: A comprehensive foundation” by Haykin S

Book Review: This book discusses neural networks from an engineering perspective. The book includes the learning process, back propagation, radial basis functions, recurrent networks, modular networks, neurodynamics and VLSI implementation. The book also provides detailed analysis of backpropagation learning and multi-layer perceptrons. The book contains chapters along with chapter objectives, problems, worked examples, illustrations and glossary. The book also covers various facets of neural networks along with the potential applications.

2. “Neural Networks and Fuzzy Systems: A Dynamical Systems Approach to Machine Intelligence” by Kosko B

“Neural Networks and Fuzzy Systems: A Dynamical Systems Approach to Machine Intelligence” Book Review: The book is basically for students graduating in engineering, computer science, mathematics, psychology and biology. It features trainable dynamical systems, mechanisms and principles of adaptation, self-organization, convergence and global stability, new geometric theory of fuzzy sets, systems and associative memories. The book combines the field of neutral network and fuzzy systems at theoretical level. It also highlights applications of new adaptive fuzzy systems in control and signal processing.

3. “Digital Neural Networks” by Kung S Y

“Digital Neural Networks” Book Review: This book will be excellent for electrical engineers, computer engineers and computer scientists. The book contains descriptions of various neural models. It provides knowledge about both fundamental theory and practical implementation of various neural models. For better understanding of the readers, applications, algorithms and architecture of neural networks are described clearly in this book.

4. “Fuzzy Sets and Fuzzy Logic” by Klir G J and Yuan B

Book Review: The book demonstrates the recent advancements made in the field of fuzzy sets and fuzzy logic. The book also illustrates a variety of applications of fuzzy sets and fuzzy logic. The book contains basic types of fuzzy sets, connection between fuzzy and crisp sets, fuzzy numbers and arithmetic operations on them, fuzzy relations and equations. The book also deals with the applications of fuzzy set theory and fuzzy logic, fuzzy systems and controllers, fuzzy databases, fuzzy decision making and many engineering applications. This book is useful for people interested in fuzzy set theory and fuzzy logic.

5. “Neuro-Fuzzy and Soft Computing” by Jang J S R

Book Review: This book stresses on the theoretical concepts of fuzzy and soft computing and also focuses on empirical observations and verification of various applications. The book contains numerous exercises which are programmed using MATLAB along with practical problem solving. This is a self-study book for many researchers who are interested in learning basic and advanced neuro fuzzy and soft computing within the framework of computational intelligence.

6. “Fuzzy Logic and Soft Computing” by BOUCHON-MEUNIER BERNADETTE

“Fuzzy Logic and Soft Computing” Book Review: The book is basically about problems and their solutions in ‘intelligent systems’. The problems that occur when information is imprecise, uncertain, incomplete, or of different linguistic nature are mentioned in the book. Various methods like probabilistic, fuzzy, logical, evidential and network-based frameworks for solving these problems are explained. The book consists of the topics such as fundamental issues in uncertainty, the rapidly emerging discipline of information aggregation, neural networks, bayesian networks and other network methods, as well as logic-based systems.

7. “Supervisory Control of Concurrent Systems: A Petri Net Structural Approach” by Panos J Antsaklis
8. “Petri Nets and Other Models of Concurrency” by P S Thiagarajan and Susanna Donatelli
9. “Timed Petri Nets: Theory and Application” by Wang Jiacun

“Timed Petri Nets: Theory and Application” Book Review: The book contains systematic and comprehensive theory of timed Petri nets. It also consists of many industrial applications of the preceding topic, so that the readers can apply bookish knowledge easily in their respective fields. The book also contains many developments and latest research in timed Petri nets. The book will be very helpful for the researchers and practitioners in the area of Discrete Event Dynamic Systems.

10. “Artificial Neural Nets and Genetic Algorithms” by Rudolf F Albrecht

“Artificial Neural Nets and Genetic Algorithms” Book Review: The book is based on artificial neural networks and genetic algorithms, which have their origin in mathematical models. These areas act as a base in understanding natural processes. This book is intended to focus on the process model rather than the process. It features new significant computational techniques, which have application in a large number of diverse fields. Topics of this book are related to previously mentioned techniques and applications. The book will help readers to apply genetic algorithms and theorems to real problems.

11. “Modeling, Analysis and Control Design for the Upfc with Fuzzy Theory and Genetic Algorithm Application” by Tsz-Kin Mok

“Modeling Analysis and control Design for the Upfc with Fuzzy Theory and Genetic Algorithm Application” Book Review: This thesis, “Demonstrating, Analysis and Control Design for the UPFC With Fuzzy Theory and Genetic Algorithm Application” by Tsz-family, Mok, was acquired from The University of Hong Kong (Pokfulam, Hong Kong) and is being offered according to Creative Commons: Attribution 3.0 Hong Kong License. The substance of this thesis has not been modified at all. We have adjusted the arranging to encourage the simplicity of printing and perusing of the paper. All rights not conceded by the above permit are held by the creator.

12. “Fundamentals of Artificial Neural Networks” by M H Hassoun

“Fundamentals of Artificial Neural Networks” Book Review: This book discusses the fundamentals of artificial neural networks. Main topics included are Threshold gates, computational capabilities of artificial neural networks, learning rules. Other topics such as mathematical theory of neural learning, adaptive multilayer neural networks, associative neural memories are also discussed. Over 200 computer-based problems and 700 references are added in this book. Numerous illustrative examples are also provided to make the topics easily understandable. Students studying computer science and information technology engineering can refer to this book.

People who are searching for Free downloads of books and free pdf copies of these books on Neural Network and Fuzzy Logic – we would like to mention that we don’t have free downloadable pdf copies of these good books and one should look for free pdf copies from these Authors only if they have explicitly made it free to download and read them.

We have created a collection of best reference books on “Neural Network and Fuzzy Logic” so that one can readily see the list of top books on “Neural Network and Fuzzy Logic” and buy the books either online or offline.

If any more book needs to be added to the list of best books on Neural Network and Fuzzy Logic subject, please let us know.

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Manish Bhojasia, a technology veteran with 20+ years @ Cisco & Wipro, is Founder and CTO at Sanfoundry. He lives in Bangalore, and focuses on development of Linux Kernel, SAN Technologies, Advanced C, Data Structures & Alogrithms. Stay connected with him at LinkedIn.

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