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Minggu, 09 Juni 2013

[N621.Ebook] Free PDF Fundamentals of Natural Computing: Basic Concepts, Algorithms, and Applications (Chapman & Hall/CRC Computer and Information Science Series

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Natural computing brings together nature and computing to develop new computational tools for problem solving; to synthesize natural patterns and behaviors in computers; and to potentially design novel types of computers. Fundamentals of Natural Computing: Basic Concepts, Algorithms, and Applications presents a wide-ranging survey of novel techniques and important applications of nature-based computing.

This book presents theoretical and philosophical discussions, pseudocodes for algorithms, and computing paradigms that illustrate how computational techniques can be used to solve complex problems, simulate nature, explain natural phenomena, and possibly allow the development of new computing technologies. The author features a consistent and approachable, textbook-style format that includes lucid figures, tables, real-world examples, and different types of exercises that complement the concepts while encouraging readers to apply the computational tools in each chapter. Building progressively upon core concepts of nature-inspired techniques, the topics include evolutionary computing, neurocomputing, swarm intelligence, immunocomputing, fractal geometry, artificial life, quantum computing, and DNA computing.

Fundamentals of Natural Computing is a self-contained introduction and a practical guide to nature-based computational approaches that will find numerous applications in a variety of growing fields including engineering, computer science, biological modeling, and bioinformatics.

Sales Rank: #1214553 in Books
Published on: 2006-06-02
Original language: English
Number of items: 1
Dimensions: 9.26" h x 1.46" w x 6.36" l, 2.36 pounds
Binding: Hardcover
696 pages

Review

… well written … a thorough introduction about the relationship of computing and nature.

―Jan Friso Groote, in Zentralblatt MATH, Vol. 1130

About the Author
Leandro Nunes de Castro (S'96 - M'01) received the B.Sc. degree in Electrical Engineering from the Federal University of Goias, Goibnia, Brazil, in 1996, and M.Sc. degree in Electrical Engineering and Ph.D. degree in Computer Engineering from the State University of Campinas, Campinas, Sco Paulo, Brazil, in 1998 and 2001, respectively. He was a Research Associate with the Computing Laboratory at the University of Kent, Canterbury, U.K. from 2001 to 2002, and a Visiting Lecturer at the School of Computer and Electrical Engineering at Unicamp. He is currently an assistant professor at the Catholic University of Santos in Brazil and a Research Fellow at Unicamp. He has broad interest in all natural computing approaches with particular emphasis on biologically inspired computing, including artificial immune systems, artificial neural networks, evolutionary algorithms, swarm intelligence, artificial life and DNA computing. He has given a number of tutorials about natural computing, and has published over fifty research papers on the subject. Dr. de Castro is a member of the IEEE Institute of Electrical and Electronics Engineers, INNS International Neural Network Society and the SBA Brazilian Automation Society. He has been a member of the program committee for a number of conferences and referee for several journals related to computational intelligence, such as the Soft Computing Journal, IEEE Transactions on Evolutionary Computation, IEEE Transactions on Neural Networks, and IEEE Transactions on Systems, Man, and Cybernetics.

Most helpful customer reviews

2 of 2 people found the following review helpful.
Fun concepts, difficult to implement
By mdegges
I had to get this book for a bio programming course. Overall, I found it to be very useful at explaining concepts clearly. The field was completely new to me but I found the concepts really interesting, and just recently finished reading the chapters we didn't cover. What I found especially useful was the pseudocode that was included in most sections. It was a challenge to convert into python code since I had no previous experience programming with python, but the pseudocode really helped me simplify the complex algorithms. In my course we covered the ant clustering algorithm, genetic algorithms, lsystems, boolean networks, cellular automata, biomorphs, and the game of life. All of these topics were covered in the book and made for some fun projects.

I'm giving this three stars because some concepts were not explained as well as they could have been (for beginners). I spent a lot of time doing online research to be able to write the programs I needed to for class. While the pseudocode was helpful, its variables were not always defined and explained. A lot of us in class understood the concepts but were not able to create working implementations. There were also some problems I ran into (such as overlapping trees in my lsystem implementation) which led me believe I was doing something wrong, when in fact it was just something that the authors didn't explain. It's little things like this that can make programmaing overly complicated, but great technical books explain them in detail.

1 of 1 people found the following review helpful.
Everything in one place!
By Marcos A. Leone Fh
This book has everything one needs to know about natural computer. Specially for those who are initiating themselves in this field of study. Topics are not deeply discussed but this is also great if you want to have this book as all-in-one reference (you can go deeper into one specific subject using this book as a guide to find other references).

0 of 2 people found the following review helpful.
Revisão dos principais tópicos sobre Computação Natura
By Renato M. Leite
Livro muito didático e eloquente!
Explica os conceitos dos principais temas em Computação Natural (Computação Evolutiva, Redes Neurais, Intelligencia Coletiva, etc.), algoritmos (em pseudo código) e fundamentos matemáticos.
Ótimo para quem quer ter uma visão geral dessa disciplina.

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Jumat, 07 Juni 2013

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Sales Rank: #176721 in Books
Published on: 2016-11-01
Released on: 2016-11-01
Original language: English
Dimensions: 9.25" h x 2.40" w x 11.25" l, .0 pounds
Binding: Hardcover
192 pages

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Sabtu, 01 Juni 2013

[S911.Ebook] Download Ebook The New Encyclopedia of Icebreakers ( Ring-bound )

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Published on: 2004-03-18
Binding: Unknown Binding

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Jumat, 24 Mei 2013

[V694.Ebook] PDF Ebook An Introduction to Neural Networks, by James A. Anderson

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An Introduction to Neural Networks falls into a new ecological niche for texts. Based on notes that have been class-tested for more than a decade, it is aimed at cognitive science and neuroscience students who need to understand brain function in terms of computational modeling, and at engineers who want to go beyond formal algorithms to applications and computing strategies. It is the only current text to approach networks from a broad neuroscience and cognitive science perspective, with an emphasis on the biology and psychology behind the assumptions of the models, as well as on what the models might be used for. It describes the mathematical and computational tools needed and provides an account of the author's own ideas.

Students learn how to teach arithmetic to a neural network and get a short course on linear associative memory and adaptive maps. They are introduced to the author's brain-state-in-a-box (BSB) model and are provided with some of the neurobiological background necessary for a firm grasp of the general subject.

The field now known as neural networks has split in recent years into two major groups, mirrored in the texts that are currently available: the engineers who are primarily interested in practical applications of the new adaptive, parallel computing technology, and the cognitive scientists and neuroscientists who are interested in scientific applications. As the gap between these two groups widens, Anderson notes that the academics have tended to drift off into irrelevant, often excessively abstract research while the engineers have lost contact with the source of ideas in the field. Neuroscience, he points out, provides a rich and valuable source of ideas about data representation and setting up the data representation is the major part of neural network programming. Both cognitive science and neuroscience give insights into how this can be done effectively: cognitive science suggests what to compute and neuroscience suggests how to compute it.

Sales Rank: #424753 in Books
Published on: 1995-03-16
Original language: English
Number of items: 1
Dimensions: 10.00" h x 1.30" w x 8.00" l, 3.31 pounds
Binding: Hardcover
672 pages

About the Author
James A. Anderson is Professor in the Department of Cognitive and Linguistic Sciences at Brown University.

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23 of 31 people found the following review helpful.
Not Practical
By Steven A. Fletcher
There's nothing really wrong with this book - it's just not useful for someone wanting to actually program a neural network system.

I read all sorts of stuff about the nervous systems in horseshoe crabs, but I don't find myself able to do anything with neural networks. Therefore, I'm scouring the Internet to find some source code examples or a tutorial of some kind.

If you want to know miscellaneous information about neural networks, go ahead and buy the book. But if you actually want to construct neural networks, buy something else.

4 of 4 people found the following review helpful.
An Informative Introduction
By Levi Lansing
As the book states, this is an INTRODUCTION, it is not a reference or practical guide to construction. It is rather informative, specifically in the biological sense, and the author does a good job introducing necessary information before using it, such as a review/introduction to vector and matrix mathematics; however, some external reading my be necessary to understand if you do not already understand some of these basics.

Note: I have only read the first 1/3 of this book so far as my first book on Neural Networks.

In my opinion, the author does not write very clearly as he often provides examples or explanations that require a fair amount of assumptions and/or inferences to understand them clearly. On the other hand, he is to the point with no off-topic text. There are also a fair number of errors (typos) in some mathematical formulas and computer code, usually the usage of i or j where the other should have been used or a missing line of code that is clearly described in the text, but forgotten in implementation (the appendices may be correct, but you must download them from [...] ). If the math doesn't make sense to what is written, keep reading and a later formula is usually correct. He also often skips several steps when deriving formulas without explanation beyond, "if [formula] then it is obvious that [new-formula]" so you may have to stop to think about the math involved.

The author is obviously not an advanced computer programmer. The code fragments are in Pascal, which can be easily translated to C/C++, but I would recommend against using this author's code for any reason other than the learning experience in association with reading the book for several reasons: First, the code is not object oriented, and thus will become more complicated than necessary, and second, because he speaks of how important optimization of the code is due to the large number of computations required, and then he immediately provides a 3 line function/procedure that is to be heavily used but could have been 30% more efficient by re-ordering the math (he did suggest the alternative math, and then went ahead and used the less efficient method). Finally, this code was written over 12 years ago in a language that is rarely used. Surely there are more comprehensive and more efficient libraries of code that would be more understandable in your native (primary) programming language.

Let me finish by saying that I am in fact glad to own this book and recommend it to anyone (College level or above) who does not already, but wants to understand the roots of Neural Networks, the links to biology, and get an introduction to many of the most common types of Neural Networks. Be advised, the required reading level is rather high, but the mathematics (at least in the first third of the book) do not go beyond a little calculus (derivatives, integrals, and some partial derivatives), basic Linear Algebra (basic vector and matrix operations, and eigenvectors/eigenvalues), and a basic understanding of statistics.

27 of 30 people found the following review helpful.
Amazing Neural Net Introduction!
By Joel Parker Henderson
This is one of the best books I have ever read. It introduces neural networks, with a strong emphasis on biological plausibility. For example, the book compares the visual systems of simple animals with neural network feature extraction. Anderson moves effectively among evolutionary biology, cognitive science, artificial intelligence, and behavioral psychology. His insights are important, clear, and often funny as well. The book gently introduces source code for implementing the various neural networks that he describes.

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Jumat, 17 Mei 2013

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Sales Rank: #6098054 in Books
Published on: 1971
Binding: Paperback

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1 of 1 people found the following review helpful.
some might take issue with its extremes......but as one man'
By A. Silverman
some might take issue with its extremes......but as one man's experiences, keep it in mind "Moderation" in all things!

At the time of its release in 1860, Charles Baudelaire's "Artificial Paradises (Les Paradis Artificiels)" met with immediate praise. One of the most important French symbolists, Baudelaire led a debauched, violent, and ultimately tragic life, dying an opium addict in 1867. This book, a response to Thomas De Quincey's Confessions of an Opium Eater, serves as a memoir of Baudelaire's last years.

In this beautifully wrought portrait of the effects of wine, opium, and hashish on the mind, Baudelaire captures the dreamlike visions he experienced during his narcotic trances. These hallucinations, sometimes exquisite, sometimes disturbing, and the delusions of grandeur that often accompanied them, constitute the Paradis Artificiels, the gorgeous yet false worlds of ecstasy that eventually led to his ruin. Contrasting the effects of hashish and opium with those of wine, Baudelaire concludes that "wine exalts the will, hashish destroys it" and makes idlers of all those who use it.

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Kamis, 16 Mei 2013

[Q576.Ebook] Download Ebook Modeling, Identification and Simulation of Dynamical Systems, by P. P. J. van den Bosch, A. C. van der Klauw

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Modeling, Identification and Simulation of Dynamical Systems, by P. P. J. van den Bosch, A. C. van der Klauw

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This book gives an in-depth introduction to the areas of modeling, identification, simulation, and optimization. These scientific topics play an increasingly dominant part in many engineering areas such as electrotechnology, mechanical engineering, aerospace, and physics. This book represents a unique and concise treatment of the mutual interactions among these topics.
Techniques for solving general nonlinear optimization problems as they arise in identification and many synthesis and design methods are detailed. The main points in deriving mathematical models via prior knowledge concerning the physics describing a system are emphasized. Several chapters discuss the identification of black-box models. Simulation is introduced as a numerical tool for calculating time responses of almost any mathematical model. The last chapter covers optimization, a generally applicable tool for formulating and solving many engineering problems.

Sales Rank: #4199121 in Books
Brand: Brand: CRC Press
Published on: 1994-07-15
Original language: English
Number of items: 1
Dimensions: 10.00" h x .50" w x 7.01" l, 1.36 pounds
Binding: Hardcover
208 pages

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Kamis, 09 Mei 2013

[F555.Ebook] Get Free Ebook Always is Not Forever, by Helen Van

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Mass market paperback.

Sales Rank: #5884339 in Books
Published on: 1978
Number of items: 1
Binding: Mass Market Paperback
476 pages

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2 of 2 people found the following review helpful.
Great story about a woman's entire life
By Christine
Great story about a woman's entire life, her family and career, then friends she meets along the way and choices she makes that affect her and others. It kept me very interested even though it's a long book but I was anxious to get to the next page. The ending was bittersweet but was so very good. I recommend it for a snowbound or rainy weekend.

2 of 3 people found the following review helpful.
A novel of redemption
By Mary L. Burke
This novel was rich in character development,ranging from weaknesses and strengths.Each character played an integral role in influencing the way the main characters dealt with their marriage against all odds.I enjoyed it from start to finish.

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