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....
Customer Reviews:
The Zionist State.......2007-06-26
Amazing book on the inner workings of Mossad, Israeli govt, CIA, the Republicans, Democrats, etc. What a bunch of gangsters. Even the cynical will be surprised.
Mixed Feelings..........2003-10-18
For those who are interested in MidEast affairs (as myself) this covers a fascinating topic and is written in a fluid style, which adds up to a truly gripping read.
The only reason for which I am not awarding this book 5 stars (and were it possible 6 or 7 stars) is the fact that many of the claims are indeed extreme...
Too much of the book simply adds up to bill this as complete fiction. Several other books (amongst which "The Samson Option", written by a renown journalist) have been based on Ben-Menashe's knowledge. Investigations have sprung up in the US and in Australia. Of course, these haven't lead far, but this is a serious case of the poeple in power charged with investigating the people in power - so what would you really expect?
Whilst I was reading this book I kept my copy of "Israels Secret Wars" at hand to verify events, facts and dates, and together with a bit of searching around the net, the essence of it all seems to add up.
Right from the start the author makes his embitterment with the "system" clear, so accusing him of having an axe to grind is pretty lame - add to that the fact that amongst his sworn enemies (at the end) was the media mogul R. Maxwell (who unleashed the full weight of his media empire to destroy his credibility) and you end up without much of a case...
****************************
TO SUM IT UP: You have to be deeply cynical, but alas perhaps realistic, to accept all that is stated in this book. In the end, however, I am one who believes that where there's smoke, there's got to be some fire as well, and this book discloses a hell of a lot of smoke!
Better Spy Fiction Than Ian Fleming.......2002-12-13
After reading this book I didn't know how to react to much of it. Many of the claims are plausible, many are wildly implausible, and some of the information is just plain factually wrong. Sharon left the IDF in 1973, not 1970 as Menashe says. Shamir retired or "was retired from" the Mossad in 1965 not the "early 1970s." Ben-Menashe is the first person who claims that the IAF has B-52s--two squadrons no less--but he doesn't say where Israel hides these massive eight-engine bombers. He also claimed that the murder of an old American Jewish cripple by Abul Abbas' organization on the Italian cruise ship Achille Lauro was an Israeli plot to discredit the PLO. Ben-Menashe doesn't really document any of his claims but asks us just to trust him. His first whopper is to claim that Shimon Peres had been paid millions by Lockheed while defense minister. Since all of Israel's American fighters were built by McDonnel Douglas or General Dynamics this seems highly unlikely. Israel does use the Lockheed C-130, but the Lockheed scandal in Europe at the same time was to get the Belgians, Dutch, and Italians to purchase F-104 Starfighter interceptors. This is typical of Ben-Menashe--he seems to take bits of news and spin it into a plot like a Hollywood screenwriter.
Ari Ben-Manashe's experience.......2002-05-01
An excellent well documented book by a high level Israeli agent. I have to give Sheridan Square Press's publishers Ellen Ray & Bill the Credit for the content as the author did the same. Most of us out of the publishing, or, media business are not skilled writers. Sheridian Square Press out of N.Y., N.Y. did the same service for the deceased Jim Garrison in his book "On the Trails of Assassins" documenting events leading up to the events of the Kennedy asassination that Oliver Stone made a movie of.
Exceeds five stars!.......2002-04-23
This was a fantastic read. If you really want to know about the workings of world intelligence agencies from the inside, how they manipulate other countries, people, events then you must read this book. Better than a James Bond novel!
As you read further and further into the book you become more and more entangled in the world of espionage and paranoia. Gripping to the end.
Book Description
Why do women stabilize our societies? Why can we enjoy and understand Shakespeare? Why are fruitflies uniform? Why do omnivorous eating habits aid our survival? Why is Mona Lisa’s smile beautiful? – Is there any answer to these questions? This book shows that the statement: "weak links stabilize complex systems" holds the answers to all of the surprising questions above. The author (recipient of several distinguished science communication prizes) uses weak (low affinity, low probability) interactions as a thread to introduce a vast variety of networks from proteins to ecosystems. Many people, from Nobel Laureates to high-school students have helped to make the book understandable to all interested readers. This unique book and the ideas it develops will have a significant impact on many, seemingly diverse, fields of study.
Customer Reviews:
Primer on real-life networks with a theme .......2007-02-02
If you ever needed another good reason to value your grandmother even more, you'll find the answer in "Weak links".
Structurally, his book starts with an exposition on network theory and
terminology, then the application and discussion of these concepts to
real-life complex systems on many scales and applied to many domains (physical, natural, technological, social). His main point is, as the reviewer noted above, that 'weak' links (weak: additional/removal does not statistically affect the average of some metric) stabilize systems.
The book has thorough footnotes, one can delve as deep as one would like
into the professional papers. In addition, Csermely is an honest scholar - he shows his hands when there is mere speculation (you have to see the book's unique pictograms to appreciate the effects)
After pouring through several alternatives, I have adopted this book as a
textbook for my Science of Networks class (I'm CS fac at an elite US liberal arts school), and I recommend it to anyone without hesitation for a readable, and learned exposition.
I only have two or three caveats from a specialist's point of view: The
phenomenological discovery of power laws in complex systems is not unusual
and may not be evidence of any SF properties. Scale-free is an abused
term, and I wish the controversy about it were explained a bit more. Also, from a modelling point of view, I wish Doyle and Carlson's work on HOT systems were discussed in more depth.
But these are minor points, relatively speaking. This is a gem of a book:
erudite, humane, funny, accessible and thoroughly fascinating. On every
page, there are delights that lead down new intellectual paths.
Csermely did a great service to pedagogy and to this budding science with
this magisterial survey. Outstanding in its ease of access for intelligent
undergraduates and commendable for intellectual honesty - I wish more
books (textbooks and otherwise) were written this way.
Weak Links Stabilize Complex Systems.......2006-05-13
It is an intriguing concept.
Weak links, invisible in many networks, are critical to its stability. In this book, Peter Csermely shows that all networks, from the universe to molecules are governed by the same principles. Regardless of the system -- atoms, cells, companies, web pages or countries -- surprisingly, the weak links stabilize each.
Csermely, a professor at Semmelweis University in Budapest, a former Fogarty Fellow at Harvard University, is a molecular chaperones specialist. In 2003, he became fascinated by the concept of affinity -- a network's stabilizing components of must have weak links to the other components. These weak links act as hubs. Attack the hubs; disrupt the network.
Csermely demonstrates the concept hold true in field after field. The professor begins his study with a discussion of the Granovetter study of a job search and then proceeds to describe network dynamics. By chapter four, the reader is ready to be introduced to the concept of weak links as universal stabilizers. Then, the professor conducts a network tour ranging from macromolecules to the planet earth. Finally he ends with a discussion of weak links, stability landscapes and game theory.
Surprisingly, his book is understandable, even to non-academics. It is loaded with gems that can be applied to the reader's networks and relationships.
This is not a book I would have ever picked up on my own. Thankfully, Professor Csermely sent me an advanced copy. It is a unique book that takes a thorough look at an intriguing concept.
Book Description
In response to an increasing demand for novel computing methods, Neural Networks for Applied Sciences and Engineering provides a simple but systematic introduction to neural networks applications. This book features case studies that use real data to demonstrate practical applications. It contains in-depth discussions of data and model validation issues along with uncertainty and sensitivity assessment of models as well as data dimensionality and methods to reduce dimensionality. It provides detailed coverage of neural network types for extracting nonlinear patterns in multi-dimensional scientific data in prediction, classification, clustering and forecasting with an extensive coverage on linear networks, multi-layer perceptron, self organization maps, and recurrent networks.
Customer Reviews:
Great book!.......2007-08-07
I found Dr. Samarasinghe's very easy to understand yet very comprehensive in its coverage of neural networks. The hand calculations really helped me see how the algorithms are applied to real-world problems. This is one of the best books on the subject that I own, and I own a bunch of them. I highly recommend it!
Average customer rating:
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Complex Systems
Manufacturer: Cambridge University Press
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ASIN: 0521462452 |
Book Description
This book explores the exciting new field of complexity. It features in-depth coverage of important theoretical areas, including fractals, chaos, nonlinear dynamics, artificial life, and self organization. It also provides overviews of complexity in several applied areas, including parallel computation, control systems, neural systems, and ecosystems. Contributors examine some of the properties that best characterize complex systems, including algorithmic richness, nonlinearity, and abundant interactions between components. In this way the book draws themes, especially the ideas of connectivity and natural computation, that reveal deep, underlying similarities among phenomena that have formerly been treated as completely distinct. Researchers in a wide array of fields, including ecology, neuroscience, computer science, and mathematics, will find this volume to be a fascinating collection of ideas.
Book Description
‘Network’ is a heavily overloaded term, so that ‘network analysis’ means different things to different people. Specific forms of network analysis are used in the study of diverse structures such as the Internet, interlocking directorates, transportation systems, epidemic spreading, metabolic pathways, the Web graph, electrical circuits, project plans, and so on. There is, however, a broad methodological foundation which is quickly becoming a prerequisite for researchers and practitioners working with network models.
From a computer science perspective, network analysis is applied graph theory. Unlike standard graph theory books, the content of this book is organized according to methods for specific levels of analysis (element, group, network) rather than abstract concepts like paths, matchings, or spanning subgraphs. Its topics therefore range from vertex centrality to graph clustering and the evolution of scale-free networks.
In 15 coherent chapters, this monograph-like tutorial book introduces and surveys the concepts and methods that drive network analysis, and is thus the first book to do so from a methodological perspective independent of specific application areas.
Book Description
It is now clear that the brain is unlikely to be understood without recourse to computational theories. The theme of An Introduction to Natural Computation is that ideas from diverse areas such as neuroscience, information theory, and optimization theory have recently been extended in ways that make them useful for describing the brains programs. This book provides a comprehensive introduction to the computational material that forms the underpinnings of the currently evolving set of brain models. It stresses the broad spectrum of learning models--ranging from neural network learning through reinforcement learning to genetic learning--and situates the various models in their appropriate neural context.
To write about models of the brain before the brain is fully understood is a delicate matter. Very detailed models of the neural circuitry risk losing track of the task the brain is trying to solve. At the other extreme, models that represent cognitive constructs can be so abstract that they lose all relationship to neurobiology. An Introduction to Natural Computation takes the middle ground and stresses the computational task while staying near the neurobiology.
Customer Reviews:
Very informative - but you'll need an icepack for your head.......2002-04-16
Fifteen years ago I did research in this area and had just completed a math degree. I thought it would be interesting to get back up to speed.
I found the book fascinating, tremendous work has been done in this field and this is a good broad treatment of it. For anyone who is into computer science but has never studied the brain it will be a tremendous eye opener.
But boy, was it hard work. I found I had to read & re-read sections just to understand some of the math involved. In fairness the book does cover everything you need but if you have never done college level math, or you have forgotten most of it, then don't tackle this book when you are tired!
From Caltech.......2000-10-25
This book is one of the two main books used in Caltech's Neural Computation class (the other is Introduction to the Theory of Neural Computation by Hertz, Krogh, and Palmer). This book covers a wider spectrum of learning models than most books, including Hertz, et al. It is still fairly mathematically rigorous, although not as much as Hertz, et al. It is ideal for somebody who wants a fairly mathematically rigorous description of the subject, but also wants something more comprehensive than Herts, et al.
Book Description
This book contains high-quality multi-disciplinary research contributions addressing theoretical and computational aspects of interaction and coordination of economic agents. It focuses on emergent phenomena and collective behavior in economic activities as well as on the development of analytical and computational tools in models with heterogeneous agents. The contributions are not restricted to any particular school of thought, but are based on rigorous theoretical models and supported by experimental validation.
Book Description
In a chemical system with many chemical species several questions can be asked: what species react with other species: in what temporal order: and with what results? These questions have been asked for over one hundred years about simple and complex chemical systems, and the answers constitute the macroscopic reaction mechanism. In Determination of Complex Reaction Mechanisms authors John Ross, Igor Schreiber, and Marcel Vlad present several systematic approaches for obtaining information on the causal connectivity of chemical species, on correlations of chemical species, on the reaction pathway, and on the reaction mechanism. Basic pulse theory is demonstrated and tested in an experiment on glycolysis. In a second approach, measurements on time series of concentrations are used to construct correlation functions and a theory is developed which shows that from these functions information may be inferred on the reaction pathway, the reaction mechanism, and the centers of control in that mechanism. A third approach is based on application of genetic algorithm methods to the study of the evolutionary development of a reaction mechanism, to the attainment given goals in a mechanism, and to the determination of a reaction mechanism and rate coefficients by comparison with experiment. Responses of non-linear systems to pulses or other perturbations are analyzed, and mechanisms of oscillatory reactions are presented in detail. The concluding chapters give an introduction to bioinformatics and statistical methods for determining reaction mechanisms.
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Managing Complex Networks: Strategies for the Public Sector
Manufacturer: Sage Publications Ltd
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Managing Uncertainties in Networks
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Governing by Network: The New Shape of the Public Sector
ASIN: 076195547X |
Book Description
This innovative volume develops a network management approach to governance and public management, and shows how governments can manage policy networks to enhance policy performance and public service delivery. It is increasingly apparent that neither bureaucracy nor markets provide ultimate solutions for governance in modern societies. Public policy is made and implemented in networks of independent public and private actors. Managing Complex Networks argues that the management of such networks is an important part of a practical approach to public management. Although the concept of policy networks is now well established in the field, most research has contented itself with description and analysis of their contribution to policy failure. This book goes further. It accepts policy networks as a fundamental characteristic of modern societies and illustrates the various strategies for intervention. The book ends with presenting a toolkit for the management of these networks. The scholars contributing to this book have come to the forefront of research in the field of policy networks and their management. What they have to say about this topic is vital reading for academics and advanced level students in management, organization studies, public administration, political science and policy studies, as well as for public service professionals.
Books:
- Lecture Notes on Principles of Plasma Processing
- Mathematica for Theoretical Physics: Electrodynamics, Quantum Mechanics, General Relativity, and Fractals
- Mirror Symmetry (Clay Mathematics Monographs, V. 1)
- Modern Physics, Second Edition
- Monte Carlo Methods in Bayesian Computation (Springer Series in Statistics)
- Multivariate Calculus and Mathematica: With Applications to Geometry and Physics
- Nonlinear Optics and Quantum Electronics
- Official (ISC)2 Guide to the CISSP CBK ((Isc)2 Press Series)
- Physics for Scientists and Engineers (Study Guide and Student Solutions Manual)
- Physics: Principles with Applications (6th Edition)
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