A First Course in Fuzzy Logic, Third Edition


Author: Hung T. Nguyen,Elbert A. Walker
Publisher: CRC Press
ISBN: 1584885262
Category: Mathematics
Page: 440
View: 9599

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A First Course in Fuzzy Logic, Third Edition continues to provide the ideal introduction to the theory and applications of fuzzy logic. This best-selling text provides a firm mathematical basis for the calculus of fuzzy concepts necessary for designing intelligent systems and a solid background for readers to pursue further studies and real-world applications. New in the Third Edition: A section on type-2 fuzzy sets - a topic that has received much attention in the past few years Additional material on copulas and t-norms More discussions on generalized modus ponens and the compositional rule of inference Complete revision to the chapter on possibility theory Significant expansion of the chapter on fuzzy integrals Many new exercises With its comprehensive updates, this new edition presents all the background necessary for students and professionals to begin using fuzzy logic in its many-and rapidly growing- applications in computer science, mathematics, statistics, and engineering.

A First Course in Fuzzy Logic, Third Edition


Author: Hung T. Nguyen,Elbert A. Walker
Publisher: CRC Press
ISBN: 1584885262
Category: Mathematics
Page: 440
View: 8055

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A First Course in Fuzzy Logic, Third Edition continues to provide the ideal introduction to the theory and applications of fuzzy logic. This best-selling text provides a firm mathematical basis for the calculus of fuzzy concepts necessary for designing intelligent systems and a solid background for readers to pursue further studies and real-world applications. New in the Third Edition: A section on type-2 fuzzy sets - a topic that has received much attention in the past few years Additional material on copulas and t-norms More discussions on generalized modus ponens and the compositional rule of inference Complete revision to the chapter on possibility theory Significant expansion of the chapter on fuzzy integrals Many new exercises With its comprehensive updates, this new edition presents all the background necessary for students and professionals to begin using fuzzy logic in its many-and rapidly growing- applications in computer science, mathematics, statistics, and engineering.

Fuzzy Logic with Engineering Applications


Author: Timothy J. Ross
Publisher: John Wiley & Sons
ISBN: 0470748516
Category: Technology & Engineering
Page: 606
View: 3509

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The first edition of Fuzzy Logic with Engineering Applications (1995) was the first classroom text for undergraduates in the field. Now updated for the second time, this new edition features the latest advances in the field including material on expansion of the MLFE method using genetic algorithms, cognitive mapping, fuzzy agent-based models and total uncertainty. Redundant or obsolete topics have been removed, resulting in a more concise yet inclusive text that will ensure the book retains its broad appeal at the forefront of the literature. Fuzzy Logic with Engineering Applications, 3rd Edition is oriented mainly towards methods and techniques. Every chapter has been revised, featuring new illustrations and examples throughout. Supporting MATLAB code is downloadable at www.wileyeurope.com/go/fuzzylogic. This will benefit student learning in all basic operations, the generation of membership functions, and the specialized applications in the latter chapters of the book, providing an invaluable tool for students as well as for self-study by practicing engineers.

Fuzzy Set Theory—and Its Applications


Author: Hans-Jürgen Zimmermann
Publisher: Springer Science & Business Media
ISBN: 9401587027
Category: Mathematics
Page: 435
View: 3923

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Fuzzy Set Theory - And Its Applications, Third Edition is a textbook for courses in fuzzy set theory. It can also be used as an introduction to the subject. The character of a textbook is balanced with the dynamic nature of the research in the field by including many useful references to develop a deeper understanding among interested readers. The book updates the research agenda (which has witnessed profound and startling advances since its inception some 30 years ago) with chapters on possibility theory, fuzzy logic and approximate reasoning, expert systems, fuzzy control, fuzzy data analysis, decision making and fuzzy set models in operations research. All chapters have been updated. Exercises are included.

Encyclopedia of Computer Science and Technology


Author: Harry Henderson
Publisher: Infobase Publishing
ISBN: 1438110030
Category: Computer science
Page: 593
View: 6680

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Presents an illustrated A-Z encyclopedia containing approximately 600 entries on computer and technology related topics.

Smart Internet of Things Projects


Author: Agus Kurniawan
Publisher: Packt Publishing Ltd
ISBN: 1786467712
Category: Computers
Page: 258
View: 2603

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Discover how to build your own smart Internet of Things projects and bring a new degree of interconnectivity to your world About This Book Learn how to extract and analyse data from physical devices and build smart IoT projects Master the skills of building enticing projects such as a neural network autonomous car, computer vision through a camera, and cloud-based IoT applications This project-based guide leverages revolutionary computing chips such as Raspberry Pi, Arduino, and so on Who This Book Is For If you are hobbyist who is keen on making smart IoT projects, then this book is for you. You should have a basic knowledge of Python. What You Will Learn Implement data science in your IoT projects and build a smart temperature controller Create a simple machine learning application and implement decision system concepts Develop a vision machine using OpenCV Build a robot car with manual and automatic control Implement speech modules with your own voice commands for IoT projects Connect IoT to a cloud-based server In Detail Internet of Things (IoT) is a groundbreaking technology that involves connecting numerous physical devices to the Internet and controlling them. Creating basic IoT projects is common, but imagine building smart IoT projects that can extract data from physical devices, thereby making decisions by themselves. Our book overcomes the challenge of analyzing data from physical devices and accomplishes all that your imagination can dream up by teaching you how to build smart IoT projects. Basic statistics and various applied algorithms in data science and machine learning are introduced to accelerate your knowledge of how to integrate a decision system into a physical device. This book contains IoT projects such as building a smart temperature controller, creating your own vision machine project, building an autonomous mobile robot car, controlling IoT projects through voice commands, building IoT applications utilizing cloud technology and data science, and many more. We will also leverage a small yet powerful IoT chip, Raspberry Pi with Arduino, in order to integrate a smart decision-making system in the IoT projects. Style and approach The book follows a project-based approach to building smart IoT projects using powerful boards such as the Raspberry Pi, Arduino, and the IoT chip.

An Introduction to Fuzzy Logic Applications in Intelligent Systems


Author: Ronald R. Yager,Lotfi A. Zadeh
Publisher: Springer Science & Business Media
ISBN: 1461536405
Category: Computers
Page: 356
View: 2978

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An Introduction to Fuzzy Logic Applications in Intelligent Systems consists of a collection of chapters written by leading experts in the field of fuzzy sets. Each chapter addresses an area where fuzzy sets have been applied to situations broadly related to intelligent systems. The volume provides an introduction to and an overview of recent applications of fuzzy sets to various areas of intelligent systems. Its purpose is to provide information and easy access for people new to the field. The book also serves as an excellent reference for researchers in the field and those working in the specifics of systems development. People in computer science, especially those in artificial intelligence, knowledge-based systems, and intelligent systems will find this to be a valuable sourcebook. Engineers, particularly control engineers, will also have a strong interest in this book. Finally, the book will be of interest to researchers working in decision support systems, operations research, decision theory, management science and applied mathematics. An Introduction to Fuzzy Logic Applications in Intelligent Systems may also be used as an introductory text and, as such, it is tutorial in nature.

A First Course in Fuzzy Logic, Fuzzy Dynamical Systems, and Biomathematics

Theory and Applications
Author: Laécio Carvalho de Barros,Rodney Carlos Bassanezi,Weldon Alexander Lodwick
Publisher: Springer
ISBN: 3662533243
Category: Computers
Page: 299
View: 7865

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This book provides an essential introduction to the field of dynamical models. Starting from classical theories such as set theory and probability, it allows readers to draw near to the fuzzy case. On one hand, the book equips readers with a fundamental understanding of the theoretical underpinnings of fuzzy sets and fuzzy dynamical systems. On the other, it demonstrates how these theories are used to solve modeling problems in biomathematics, and presents existing derivatives and integrals applied to the context of fuzzy functions. Each of the major topics is accompanied by examples, worked-out exercises, and exercises to be completed. Moreover, many applications to real problems are presented. The book has been developed on the basis of the authors’ lectures to university students and is accordingly primarily intended as a textbook for both upper-level undergraduates and graduates in applied mathematics, statistics, and engineering. It also offers a valuable resource for practitioners such as mathematical consultants and modelers, and for researchers alike, as it may provide both groups with new ideas and inspirations for projects in the fields of fuzzy logic and biomathematics.

Intelligent Systems for Engineers and Scientists, Third Edition


Author: Adrian A. Hopgood
Publisher: CRC Press
ISBN: 1498783791
Category: Computers
Page: 451
View: 1806

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The third edition of this bestseller examines the principles of artificial intelligence and their application to engineering and science, as well as techniques for developing intelligent systems to solve practical problems. Covering the full spectrum of intelligent systems techniques, it incorporates knowledge-based systems, computational intelligence, and their hybrids. Using clear and concise language, Intelligent Systems for Engineers and Scientists, Third Edition features updates and improvements throughout all chapters. It includes expanded and separated chapters on genetic algorithms and single-candidate optimization techniques, while the chapter on neural networks now covers spiking networks and a range of recurrent networks. The book also provides extended coverage of fuzzy logic, including type-2 and fuzzy control systems. Example programs using rules and uncertainty are presented in an industry-standard format, so that you can run them yourself. The first part of the book describes key techniques of artificial intelligence—including rule-based systems, Bayesian updating, certainty theory, fuzzy logic (types 1 and 2), frames, objects, agents, symbolic learning, case-based reasoning, genetic algorithms, optimization algorithms, neural networks, hybrids, and the Lisp and Prolog languages. The second part describes a wide range of practical applications in interpretation and diagnosis, design and selection, planning, and control. The author provides sufficient detail to help you develop your own intelligent systems for real applications. Whether you are building intelligent systems or you simply want to know more about them, this book provides you with detailed and up-to-date guidance. Check out the significantly expanded set of free web-based resources that support the book at: http://www.adrianhopgood.com/aitoolkit/

Mining of Massive Datasets


Author: Jure Leskovec,Anand Rajaraman,Jeffrey David Ullman
Publisher: Cambridge University Press
ISBN: 1107077230
Category: Computers
Page: 476
View: 3467

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Now in its second edition, this book focuses on practical algorithms for mining data from even the largest datasets.

Understanding Smart Sensors


Author: Randy Frank
Publisher: Artech House
ISBN: 1608075079
Category: Technology & Engineering
Page: 367
View: 8014

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Now in its third edition, Understanding Smart Sensors is the most complete, up-to-date, and authoritative summary of the latest applications and developments impacting smart sensors in a single volume. This thoroughly expanded and revised edition of an Artech bestseller contains a wealth of new material, including critical coverage of sensor fusion and energy harvesting, the latest details on wireless technology, and greater emphasis on applications through the book. Utilizing the latest in smart sensor, microelectromechanical systems (MEMS) and microelectronic research and development, Engineers get the technical and practical information they need keep their designs and products on the cutting edge. Providing an extensive variety of information for both technical and non-technical professionals, this easy-to-understand, time-saving book covers current and emergent technologies, as well as their practical implementation. This comprehensive resource also includes an extensive list of smart sensor acronyms and a glossary of key terms.

Starting Out With Java

From Control Structures Through Data Structures
Author: Tony Gaddis,Godfrey Muganda
Publisher: Addison-Wesley
ISBN: 9780134038179
Category: Computers
Page: 1464
View: 3976

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For courses in computer science and programming Starting Out with Java: From Control Structures through Data Structures provides a smooth introduction to programming with Java that moves fluidly from beginner to more advanced topics. The first half of the book is taught for a CS1 course and teaches fundamental programming and problem solving concepts, while the second half, meant for a CS2 course, teaches advanced topics, algorithms, and data structures. The Third Edition is extremely flexible in its organization, which teaches programmers to implement data structures with or without generics. As with all text in Gaddis' Starting Out series, the tone is friendly, the material detailed, and major concepts easy to understand. With rich examples throughout, programmers learn to use Java through real programming practice.

A First Course in General Relativity


Author: Bernard Schutz
Publisher: Cambridge University Press
ISBN: 0521887054
Category: Science
Page: 393
View: 3439

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Second edition of a widely-used textbook providing the first step into general relativity for undergraduate students with minimal mathematical background.

Computational Intelligence

Principles, Techniques and Applications
Author: Amit Konar
Publisher: Springer Science & Business Media
ISBN: 3540273352
Category: Mathematics
Page: 708
View: 8331

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Computational Intelligence: Principles, Techniques and Applications presents both theories and applications of computational intelligence in a clear, precise and highly comprehensive style. The textbook addresses the fundamental aspects of fuzzy sets and logic, neural networks, evolutionary computing and belief networks. The application areas include fuzzy databases, fuzzy control, image understanding, expert systems, object recognition, criminal investigation, telecommunication networks, and intelligent robots. The book contains many numerical examples and homework problems with sufficient hints so that the students can solve them on their own.

Introduction to Genetic Algorithms


Author: S.N. Sivanandam,S. N. Deepa
Publisher: Springer Science & Business Media
ISBN: 3540731903
Category: Mathematics
Page: 442
View: 7901

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This book offers a basic introduction to genetic algorithms. It provides a detailed explanation of genetic algorithm concepts and examines numerous genetic algorithm optimization problems. In addition, the book presents implementation of optimization problems using C and C++ as well as simulated solutions for genetic algorithm problems using MATLAB 7.0. It also includes application case studies on genetic algorithms in emerging fields.

A First Course in Statistical Programming with R


Author: W. John Braun,Duncan J. Murdoch
Publisher: Cambridge University Press
ISBN: 1107576466
Category: Computers
Page: 230
View: 2502

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Learn to program in R from the experts with this new, color edition of Braun and Murdoch's bestselling textbook.

Data Mining: Concepts and Techniques


Author: Jiawei Han,Jian Pei,Micheline Kamber
Publisher: Elsevier
ISBN: 9780123814807
Category: Computers
Page: 744
View: 6461

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Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from the collected data. This book is referred as the knowledge discovery from data (KDD). It focuses on the feasibility, usefulness, effectiveness, and scalability of techniques of large data sets. After describing data mining, this edition explains the methods of knowing, preprocessing, processing, and warehousing data. It then presents information about data warehouses, online analytical processing (OLAP), and data cube technology. Then, the methods involved in mining frequent patterns, associations, and correlations for large data sets are described. The book details the methods for data classification and introduces the concepts and methods for data clustering. The remaining chapters discuss the outlier detection and the trends, applications, and research frontiers in data mining. This book is intended for Computer Science students, application developers, business professionals, and researchers who seek information on data mining. Presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects Addresses advanced topics such as mining object-relational databases, spatial databases, multimedia databases, time-series databases, text databases, the World Wide Web, and applications in several fields Provides a comprehensive, practical look at the concepts and techniques you need to get the most out of your data

Intelligent Systems: Principles, Paradigms, and Pragmatics


Author: Robert J. Schalkoff
Publisher: Jones & Bartlett Learning
ISBN: 0763780170
Category: Computers
Page: 758
View: 3240

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Artificial Intelligence has changed significantly in recent years and many new resources and approaches are now available to explore and implement this important technology. Intelligent Systems: Principles, Paradigms, and Pragmatics takes a modern, 21st-century approach to the concepts of Artificial Intelligence and includes the latest developments, developmental tools, programming, and approaches related to AI. The author is careful to make the important distinction between theory and practice, and focuses on a broad core of technologies, providing students with an accessible and comprehensive introduction to key AI topics.

Fundamentals of Programmable Logic Controllers, Sensors, and Communications


Author: Jon Stenerson
Publisher: Prentice Hall
ISBN: 9780130618900
Category: Computers
Page: 654
View: 1280

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The third edition of Fundamentals of Programmable Logic Controllers, Sensors, and Communications retains the previous edition¿s practical approach, easy-to-read writing style, and coverage of various types of industrial controllers while reflecting leading-edge technology. Since the programmable logic controller has become an invaluable tool in American industry, it responds to the substantial need for trained personnel who can program and integrate these devices. Covers new and emerging technologies and techniques—IEC 61131 programming; Industrial automation controllers; ControlLogix; Embedded controllers; Supervisory control and data acquisition; Fuzzy logic; Step, stage, and state logic programming. Features process control and instrumentation—Process Control, PLC Addressing, PLC Wiring, and Robotics. For trained personnel using programmable logic control devices.