Book Description
This textbook provides a thorough introduction to the field of learning from experimental data and soft computing. Support vector machines (SVM) and neural networks (NN) are the mathematical structures, or models, that underlie learning, while fuzzy logic systems (FLS) enable us to embed structured human knowledge into workable algorithms. The book assumes that it is not only useful, but necessary, to treat SVM, NN, and FLS as parts of a connected whole. Throughout, the theory and algorithms are illustrated by practical examples, as well as by problem sets and simulated experiments. This approach enables the reader to develop SVM, NN, and FLS in addition to understanding them. The book also presents three case studies: on NN-based control, financial time series analysis, and computer graphics. A solutions manual and all of the MATLAB programs needed for the simulated experiments are available.
Customer Reviews:
An extremely good book.......2006-11-16
This is a very good book. Another reviewer has commented on Vojislav Kecman being an excellent teacher. I whole-heartedly second that opinion. Often times, while reading this book, you will pause with a doubt or question. What you will find surprising is that almost certainly the author has answered that question in the next paragraph. Many times, the author's answers will tally your own answers.
The first chapter of the book (entitled: Learning and Soft Computing: Rationale, Motivations, Needs, Basics) is 119 pages long. It is an essential reading. By the time you finish reading this chapter the things will start falling into place and you will be more motivated and ready to read the remaining chapters. Until you are highly aware of this topic, do not skip this chapter.
A book is made up of a lot of things other than the text that it covers. Does it contain many/any stupid jokes? Is it printed on the highest quality paper? Is the font size good? Is it printed too dense? Is the cover page inviting enough? Are the dimensions/weight of the book correct? On all these counts the book scores high.
Consistent with the subject matter that it covers, this is not an easy book. You will perhaps like to read it with paper and pencil. But if you are willing to spend time with this book, this book will do a lot of good to you. This is a very good book.
An excellent book on Machine Learning.......2003-02-27
What strikes me each time I open this book is Mr Kecman's sense of pedagogy: it is a lesson in the matter. Not only his book delivers the - sometimes complex - techniques in a highly readable manner, but the concepts behind each of the main tools (SVM, NN & FL) he chose to highlight are always brilliantly put in context. One comes out of the reading with more than a set of equations but rather with a clearer picture of the field.
Mr Kecman is - without a doubt - a great teacher.
This effort to deliver a clear message is furthermore underlined through the numerous original figures: if you are like me and feel that a (good) picture speaks more than a thousand words, you will sure appreciate the way the illustrations complement the text and truly help the understanding.
I have read several other books on the subject but if I had to chose one for teaching purposes, this would be the one. I you want to build a better understanding of the field, get this book: it will pay on the long term.
Excellent, useful book!.......2001-07-23
This book is a nice and, I would say, a successful attempt to provide a unified survey of important theoretical and practical machine learning tools: neural networks (NN), support vector machines (SVM) and fuzzy systems (FS).
Book consists of nine chapters, covering SVMs, one- and multi-layer perceptrons and radial-basis function networks, as variants of neural networks, and basics of fuzzy theory. This is followed by interesting case-studies (in financial, control and computer graphic applications) and concluded by basics of optimization theory and an overview of necessary mathematical tools. All the MATLAB programs needed for the simulated experiments are available on the book web site.
Authored by Vojislav Kecman, a prominent researcher in the field of soft computing and previous MIT visiting professor, this book is an excellent material for advanced undergraduate and introductory graduate courses in machine learning applications and soft computing....
Average customer rating:
- prof. review
- A First Course in Fuzzy Logic
- Outstanding, for people who are interested in this area
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A First Course in Fuzzy Logic, Third Edition
Hung T. Nguyen , and
Elbert A. Walker
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An Introduction to Fuzzy Logic for Practical Applications
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Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions
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Fuzzy Logic with Engineering Applications
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Fuzzy Logic: The Revolutionary Computer Technology That Is Changing Our World
ASIN: 1584885262 |
Book Description
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.
Customer Reviews:
prof. review.......2006-01-15
this is the best intro to fuzzy ever writen....im a university prof on the subject of AI so...Ive read tons of books on the subject and this is by far the best intro to fuzzy even for those who ll be learning on their own... very simple put and yet very abording on the matter!
A First Course in Fuzzy Logic.......1999-12-22
If you are looking for a book on Fuzzy Logic Theory, this is a good book. It explains the mathematical basis of fuzzy logic, the mathmatical symbols used, provides proofs for theorems, etc. The chapters and sections are clearly labeled in the table of contents, making it easy to zero in on a topic. It is a College Text Book, with problems to solve at the end of each chapter. Selected problems have answers in the back of the book. Unfortunately, that wasn't the type of book that I expected or needed. I was looking more for the hands on, how to, type of book. That is the only reason it did not get 5 stars.
Outstanding, for people who are interested in this area.......1999-09-21
This is the clearest explanation and application of fuzzy logic that has been published. It is thorough, without being arcane or pedantic.
Book Description
Experts from the world's major financial institutions contributed to this work and have already used the newest technologies. Gives proven strategies for using neural networks, algorithms, fuzzy logic and nonlinear data analysis techniques to enhance profitability. The latest analytical breakthroughs, the impact on modern finance theory and practice, including the best ways for profitably applying them to any trading and portfolio management system, are all covered.
Customer Reviews:
Waste if money.......2005-08-02
What good is this book withut tradestation code. Eventually you will not use it and will set on your book shelf collecting dust. I suspect the author knows how to program and all other author like him. Topics studied in MS computer science software courses leave it to programers to write, since they are qualified than those who don't know how, But can do research ans sell a book to excited hope to be traders.
Hi-tech is always the best???????????.......2001-08-07
My interest in NN/GA started 3 years ago and I found this book. It covers some advanced methods for trading. But I am not sure whether they are really better than the traditional technical analysis. The results in this book could not prove it. And some authors didn't disclose their methods clearly. It seems to be very common among people who are using NN/GA/fuzzy logic in trading. So it is hard to know the reliability and accuracy of their results. And we cannot repeat their experiments. Personally, I won't use them in trading. I also gradually lose the interest in this area. I would like to know anyone really made profit by using them.
Covers a lot........1999-06-27
Discusses financial applications of neural networks, genetic algorithms and fuzzy logic. Is aimed at the beginner to intermediate level. Focuses more on data processing and application than on the actual building of neural nets. Several useful examples are given. Sections are written by experts in that particular field. This is usually advantageous except ocassionally where terminology may not always be consistent between sections. Overall a good book if you know how to write your own NN/GA/FUZZY program or have access to one.
Average customer rating:
- a reasonable overview but don't expect too much detail
- best for beginners
|
Understanding Neural Networks and Fuzzy Logic: Basic Concepts and Applications (IEEE Press Understanding Science & Technology Series)
Stamatios V. Kartalopoulos
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Fuzzy Logic: The Revolutionary Computer Technology That Is Changing Our World
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An Introduction to Fuzzy Logic for Practical Applications
ASIN: 0780311280 |
Book Description
Understand the fundamentals of the emerging field of fuzzy neural networks, their applications and the most used paradigms with this carefully organized state-of-the-art textbook. Previously tested at a number of noteworthy conference tutorials, the simple numerical examples presented in this book provide excellent tools for progressive learning. UNDERSTANDING NEURAL NETWORKS AND FUZZY LOGIC offers a simple presentation and bottom-up approach that is ideal for working professional engineers, undergraduates, medical/biology majors, and anyone with a nonspecialist background.
Sponsored by:
IEEE Neural Networks Council
Customer Reviews:
a reasonable overview but don't expect too much detail.......2004-10-12
As the other reviewer said, if you know nothing about neural networks, then this is a good place to start. It begins with an overview of neural networks in the brain, using the visual processing system as a detailed example. Once this is done, it moves on to general concepts and basic theory encountered in the field. The drawback is topics tend to be skimmed over with the minimum of detail and very few examples, some of which are barely explained - often there are figures of networks with no real discussion of what is going on. Having said that, reading this book gave me enough understanding of the underlying ideas so that i was able to pick up a more mathematical treatment of the subject and follow what was going on and i definitely think it was worth the purchase.
best for beginners.......2001-06-08
If you have no idea what this subject is all about or if you are interested in knowing the concept of neural networks then try this book, it gives you the conceptual view in a simple matter which is perfectly enough to gain your interest in the subject. If any one wanna work in this field I strongly suggest them to read this book before they want to continue in the field.
"A simple and well organised matter" is the best fit for this book.
Average customer rating:
|
Fuzzy and Neural Approaches in Engineering, MATLAB Supplement (Adaptive and Learning Systems for Signal Processing, Communications and Control Series)
Lefteri H. Tsoukalas ,
Robert E. Uhrig , and
Lotfi A. Zadeh
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Fuzzy and Neural Approaches in Engineering (Adaptive and Learning Systems for Signal Processing, Communications and Control Series)
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ASIN: 0471192473 |
Book Description
Neural networks and fuzzy systems represent two distinct technologies that deal with uncertainty. This definitive book presents the fundamentals of both technologies, and demonstrates how to combine the unique capabilities of these two technologies for the greatest advantage. Steering clear of unnecessary mathematics, the book highlights a wide range of dynamic possibilities and offers numerous examples to illuminate key concepts. It also explores the value of relating genetic algorithms and expert systems to fuzzy and neural technologies.
Customer Reviews:
starter.......2000-10-15
It seems that most texts on fuzzy and nnets are in very basic form. Given the (fact) substantial use of both types of controllers at the most advanced levels of technology and finance it seems somewhat strange (trade secrets). If you already have Matlab's Fuzzy or NNets the material is somewhat redundant, given that the M-files are easier to work with in Matlab than using the Microsoft Word connection (more later). The manual allows the basic concepts to be easily transported to MathCad and for this reader is worth the book. It is for the begginer without Matlab that this text really shines. It has the Microsoft Words ability to work with the Matlab (although it is not installed) interface to show the reader how the two,fuzzy and nnets, work together. At the very least it allows someone to determine if they wish to proceed with topic (this is the future of control systems). I found that building a sub program in MathCad using set theory operators, to call the sub-routines of fuzzy and nnets worked best. This was a just for fun. Both Matlabs Fuzzy and nnet toolboxes work far better. This text adds fill in material for both Matlabs fuzzy and nnet toolbox texts.
Average customer rating:
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Stable Adaptive Control and Estimation for Nonlinear Systems: Neural and Fuzzy Approximator Techniques
Jeffrey T. Spooner ,
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ASIN: 0471415464 |
Book Description
- Includes a solution manual for problems.
- Provides MATLAB code for examples and solutions.
- Deals with robust systems in both theory and practice.
Download Description
Includes a solution manual for problems.
* Provides MATLAB code for examples and solutions.
* Deals with robust systems in both theory and practice.
Average customer rating:
- a great tool for engineering research
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Fuzzy and Neural Approaches in Engineering (Adaptive and Learning Systems for Signal Processing, Communications and Control Series)
Lefteri H. Tsoukalas , and
Robert E. Uhrig
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Fuzzy and Neural Approaches in Engineering, MATLAB Supplement (Adaptive and Learning Systems for Signal Processing, Communications and Control Series)
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Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence
ASIN: 0471160032 |
Book Description
Neural networks and fuzzy systems represent two distinct technologies that deal with uncertainty. This definitive book presents the fundamentals of both technologies, and demonstrates how to combine the unique capabilities of these two technologies for the greatest advantage. Steering clear of unnecessary mathematics, the book highlights a wide range of dynamic possibilities and offers numerous examples to illuminate key concepts. It also explores the value of relating genetic algorithms and expert systems to fuzzy and neural technologies.
Customer Reviews:
a great tool for engineering research.......1998-04-15
I have been impressed by the clarity of the presented material and the intelligent choice of the various examples that are found in the text. One rarely finds such a well connected presentation of knowledge. This book gave me the capability to further expand my exploration efforts in this very interesting subject.
Average customer rating:
|
A Course In Fuzzy Systems and Control
Li-Xin Wang
Manufacturer: Prentice Hall PTR
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An Introduction to Fuzzy Control
ASIN: 0135408822 |
Book Description
Provides a comprehensive, self-tutorial course in fuzzy logic and its increasing role in control theory.
The book answers key questions about fuzzy systems and fuzzy control. It introduces basic concepts such as fuzzy sets, fuzzy union, fuzzy intersection and fuzzy complement. Learn about fuzzy relations, approximate reasoning, fuzzy rule bases, fuzzy inference engines, and several methods for designing fuzzy systems.
For professional engineers and students applying the principles of fuzzy logic to work or study in control theory.
Customer Reviews:
Comprehensive text.......1999-03-25
I have read many books on fuzzy control, I found this is the most logical and comprehensive. The most important feature of the book is the formulation of diverse varieties of fuzzy control methods. It presents the fuzzy control in a progressive and logical way. However,its mathematical notations and proof of theorems block up many readers'learning. It is easy to be lost in struggling with the mathematics, without knowing the rationale behind theorems. Intutitive explanations for formulas and notations are required. It would be perfect if it includes programming examples to show how to implement fuzzy controllers with popular computer languages, also, drill problems with solutions at the end of each chapter will benefit to readers.
Average customer rating:
|
Computational Intelligence in Fault Diagnosis (Advanced Information and Knowledge Processing)
Manufacturer: Springer
ProductGroup: Book
Binding: Hardcover
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ASIN: 1846283434 |
Book Description
Presenting the latest developments and research results on fault diagnosis approaches using computational intelligence methodologies, this book opens with a review of the state-of-the-art before focusing on various theoretical aspects of computational intelligence methodologies applied to real-world fault diagnosis problems.
Chapters deal with topics such as fuzzy sets applications to fault diagnosis, neural network based fault diagnosis applications and neuro-fuzzy techniques for fault diagnosis. The last chapter considers the problem of diagnosing large scale complex systems using local agents which, can be implemented using computational intelligence based fault diagnosis techniques. Several case studies are used.
This book presents the most recent concerns and research results in industrial fault diagnosis using intelligent techniques, and will be of interest to application engineers/technologists, graduates and researchers wishing to apply these techniques, as well as build up a foundation for further study.
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- Neural Networks and Intellect: Using Model-Based Concepts
- Nonfiction Matters: Reading, Writing, and Research in Grades 3-8
- Not Even Wrong: The Failure of String Theory And the Search for Unity in Physical Law
- Of Mice and Men (Penguin Great Books of the 20th Century)
- One Flew Over the Cuckoo's Nest
Books Index
Books Home
Recommended Books
- Service-Oriented Architecture
- If You Tame Me: Understanding Our Connection With Animals
- Explorers and Artists in the Valley of the Kings
- History: Fiction or Science
- History: Fiction or Science
- Pattern Classification
- Isle Royale National Park: Foot Trails & Water Routes
- Opportunities in Part-Time and Summer Jobs
- Fashion Careers: The Complete Job Search Workbook, Third Edition
- Handbook of International Credit Management
An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
Support Vector Machines for Pattern Classification (Advances in Pattern Recognition)
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond (Adaptive Computation and Machine Learning)
Neural Networks for Pattern Recognition
Least Squares Support Vector Machines
