the Nest of Students

Wayne Winston ... 864 pages - Publisher: Microsoft Press; 5th edition (December, 2016) ...
Language: English - ISBN-10: 1509304215 - ISBN-13: 978-1509304219 ...

David Slager ... 673 pages - Publisher: Apress; 1st edition (November, 2016) ...

Michael Paluszek, Stephanie Thomas ... 326 pages - Publisher: Apress; (December, 2016) ... Language: English - ISBN-10: 1484222490 - ISBN-13: 978-1484222492.

Kevin L. Priddy, Paul E. Keller ... 180 pages - Publisher: SPIE Publications; (August, 2005) ... Language: English - ISBN-10: 0819459879 - ISBN-13: 978-0819459879 ...

This tutorial text provides the reader with an understanding of artificial neural networks (ANNs) and their application, beginning with the biological systems which inspired them, through the learning methods that have been developed and the data collection processes, to the many ways ANNs are being used today.
The material is presented with a minimum of math (although the mathematical details are included in the appendices for interested readers), and with a maximum of hands-on experience. All specialized terms are included in a glossary. The result is a highly readable text that will teach the engineer the guiding principles necessary to use and apply artificial neural networks. Contents: - Preface - Acknowledgments - Introduction - Learning Methods - Data Normalization - Data Collection, Preparation, Labeling, and Input Coding - Output Coding - Post-Processing - Supervised Training Methods - Unsupervised Training Methods - Recurrent Neural Networks - A Plethora of Applications - Dealing with Limited Amounts of Data - Appendix A: The Feedforward Neural Network - Appendix B: Feature Saliency - Appendix C: Matlab Code for Various Neural Networks - Appendix D: Glossary of Terms - References - Index.

Mathukumalli Vidyasagar ... 488 pages - Publisher: Springer; 2nd edition (November, 2002) ...
Language: English - ISBN-10: 1852333731 - ISBN-13: 978-1852333737 ...

Learning and Generalization provides a formal mathematical theory for addressing intuitive questions such as: How does a machine learn a new concept on the basis of examples? • How can a neural network, after sufficient training, correctly predict the outcome of a previously unseen input? • How much training is required to achieve a specified level of accuracy in the prediction? • How can one identify the dynamical behaviour of a nonlinear control system by observing its input-output behaviour over a finite interval of time?

In its successful first edition, A Theory of Learning and Generalization was the first book to treat the problem of machine learning in conjunction with the theory of empirical processes, the latter being a well-established branch of probability theory. The treatment of both topics side-by-side leads to new insights, as well as to new results in both topics. This second edition extends and improves upon this material, covering new areas including: • Support vector machines. • Fat-shattering dimensions and applications to neural network learning. • Learning with dependent samples generated by a beta-mixing process. • Connections between system identification and learning theory. • Probabilistic solution of 'intractable problems' in robust control and matrix theory using randomized algorithm. Reflecting advancements in the field, solutions to some of the open problems posed in the first edition are presented, while new open problems have been added. Learning and Generalization (second edition) is essential reading for control and system theorists, neural network researchers, theoretical computer scientists and probabilist.

Louis H. Turcotte, H. B. Wilson ... 321 pages - Publisher: Prentice Hall; 1st edition (July, 1997) ...
Language: English - ISBN-10: 0137490607 - ISBN-13: 978-0137490608 ...

Focusing on physical applications in mechanics, the book's goal is to explore the benefits of computer usage in problem solving. Presents numerous example problems which demonstrate each program. Includes several thousand lines of carefully structured MATLAB code suitable for detailed study.

Peter Flach ... 409 pages - Publisher: Cambridge University Press; 1st edition (November, 2012) ... Language: English - ISBN-10: 1107422221 - ISBN-13: 978-1107422223 ...

As one of the most comprehensive machine learning texts around, this book does justice to the field's incredible richness, but without losing sight of the unifying principles. Peter Flach's clear, example-based approach begins by discussing how a spam filter works, which gives an immediate introduction to machine learning in action, with a minimum of technical fuss. Flach provides case studies of increasing complexity and variety with well-chosen examples and illustrations throughout. He covers a wide range of logical, geometric and statistical models and state-of-the-art topics such as matrix factorisation and ROC analysis. Particular attention is paid to the central role played by features. The use of established terminology is balanced with the introduction of new and useful concepts, and summaries of relevant background material are provided with pointers for revision if necessary. These features ensure Machine Learning will set a new standard as an introductory textbook.

Andrew Knight ... 216 pages - Publisher: Chapman and Hall/CRC; 1st edition (August, 1999) ...
Language: English - ISBN-10: 0849320399 - ISBN-13: 978-084932039 ...

MATLAB-the tremendously popular computation, numerical analysis, signal processing, data analysis, and graphical software package-allows virtually every scientist and engineer to make better and faster progress. As MATLAB's world-wide sales approach a half-million with an estimated four million users, it becomes a near necessity that professionals and students have a level of competence in its use. Until now, however, there has been no book that quickly and effectively introduces MATLAB's capabilities to new users and assists those with more experience down the path toward increasingly sophisticated work.

Basics of MATLAB and Beyond is just such a book. Its hands-on, tutorial approach gently takes new users by the hand and leads them to competence in all the fundamentals of MATLAB. Then, with equal effectiveness, it covers the advanced topics that lead to full, creative exploitation of MATLAB's awesome power. With this book, readers will: Solve more problems with MATLAB-and solve them faster * Create clearer, more beautiful graphics with control over every detail * Create their own MATLAB code * Share their work by exporting data and graphics to other applications * Develop graphical user interfaces. Based on the latest 5.x release, Basics of MATLAB and Beyond supplies both novice and experienced users the tools they need to gain proficiency, increase productivity, and ultimately have more fun with MATLAB.

Christian Blum, Günther R. Raidl ... 157 pages - Publisher: Springer; 1st edition (May, 2016) ...
Language: English - ISBN-10: 3319308823 - ISBN-13: 978-3319308821 ...

This book explains the most prominent and some promising new, general techniques that combine metaheuristics with other optimization methods. A first introductory chapter reviews the basic principles of local search, prominent metaheuristics, and tree search, dynamic programming, mixed integer linear programming, and constraint programming for combinatorial optimization purposes. The chapters that follow present five generally applicable hybridization strategies, with exemplary case studies on selected problems: incomplete solution representations and decoders; problem instance reduction; large neighborhood search; parallel non-independent construction of solutions within metaheuristics; and hybridization based on complete solution archives.

The authors are among the leading researchers in the hybridization of metaheuristics with other techniques for optimization, and their work reflects the broad shift to problem-oriented rather than algorithm-oriented approaches, enabling faster and more effective implementation in real-life applications. This hybridization is not restricted to different variants of metaheuristics but includes, for example, the combination of mathematical programming, dynamic programming, or constraint programming with metaheuristics, reflecting cross-fertilization in fields such as optimization, algorithmics, mathematical modeling, operations research, statistics, and simulation. The book is a valuable introduction and reference for researchers and graduate students in these domains.

A. Kaveh ... 373 pages -Publisher: Springer; (December, 2016) ... Language: English - ISBN-10: 3319480111 - ISBN-13: 978-3319480114.

The book presents recently developed efficient metaheuristic optimization algorithms and their applications for solving various optimization problems in civil engineering. The concepts can also be used for optimizing problems in mechanical and electrical engineering.

Gordon Filby ... 289 pages - Publisher: Springer; (September, 1998) ...
Language: English - ISBN-10: 354061253X - ISBN-13: 978-3540612537 ...

"Spreadsheets in Science and Engineering" shows scientists and engineers at all levels how to analyze, validate and calculate data and how the analytical and graphic capabilities of spreadsheet programs (ExcelR) can solve these tasks in their daily work. The examples on the CD-ROM accompanying the book include material of undergraduate to current research level in disciplines ranging from chemistry and chemical engineering to molecular biology and geology.

M. Asghar Bhatti ... 715 pages - Publisher: Springer; (June, 2000) ... Language: English - ISBN-10: 0387986316 - ISBN-13: 978-0387986319 ...

This introductory textbook adopts a practical and intuitive approach, rather than emphasizing mathematical rigor. Computationally oriented books in this area generally present algorithms alone, and expect readers to perform computations by hand, and are often written in traditional computer languages, such as Basic, Fortran or Pascal. This book, on the other hand, is the first text to use Mathematica to develop a thorough understanding of optimization algorithms, fully exploiting Mathematica's symbolic, numerical and graphic capabilities.

Fred W. Glover, Gary A. Kochenberger ... 570 pages - Publisher: Springer; 1st edition (January, 2003) ...
Language: English - ISBN-10: 1402072635 - ISBN-13: 978-1402072635 ...

This book provides both the research and practitioner communities with a comprehensive coverage of the metaheuristic methodologies that have proven to be successful in a wide variety of real-world problem settings. Moreover, it is these metaheuristic strategies that hold particular promise for success in the future. The various chapters serve as stand alone presentations giving both the necessary background underpinnings as well as practical guides for implementation.

Maurice Clerc, Bijaya Ketan Panigrahi, Yuhui Shi, Meng-Hiot Lim ... 
544 pages - Publisher: Springer;  (January, 2011) ... Language: English - ISBN-10: 3642173896 - ISBN-13: 978-3642173899.

From nature, we observe swarming behavior in the form of ant colonies, bird flocking, animal herding, honey bees, swarming of bacteria, and many more.  It is only in recent years that researchers have taken notice of such natural swarming systems as culmination of some form of innate collective intelligence, albeit swarm intelligence (SI) - a metaphor that inspires a myriad of computational problem-solving techniques.  In computational intelligence, swarm-like algorithms have been successfully applied to solve many real-world problems in engineering and sciences. This handbook volume serves as a useful foundational as well as consolidatory state-of-art collection of articles in the field from various researchers around the globe.  It has a rich collection of contributions pertaining to the theoretical and empirical study of single and multi-objective variants of swarm intelligence based algorithms like particle swarm optimization (PSO), ant colony optimization (ACO), bacterial foraging optimization algorithm (BFOA), honey bee social foraging algorithms, and harmony search (HS).  With chapters describing various applications of SI techniques in real-world engineering problems, this handbook can be a valuable resource for researchers and practitioners, giving an in-depth flavor of what SI is capable of achieving.

Marco Dorigo, Mauro Birattari, Christian Blum, Maurice Clerc, Thomas Stützle, Alan Winfield ... 416 pages - Publisher: Springer; (October, 2008) ... Language: English - ISBN-10: 3540875263 - ISBN-13: 978-3540875260.

This book constitutes the refereed proceedings of the 6th International Workshop on Ant Colony Optimization and Swarm Intelligence, ANTS 2008, held in Brussels, Belgium, in September 2008. The 17 revised full papers, 24 revised short papers, and 10 extended abstracts presented were carefully reviewed and selected from 91 submissions. The papers cover theoretical and foundational aspects of computational intelligence and related disciplines with special focus on swarm intelligence and are devoted to behavioral models of social insects and new algorithmic approaches, empirical and theoretical research in swarm intelligence, applications such as ant colony optimization or particle swarm optimization, and theoretical and experimental research in swarm robotics systems.

The series of biannual international conferences “ANTS – International C- ference on Ant Colony Optimization and Swarm Intelligence”, now in its sixth edition, was started ten years ago, with the organization of ANTS’98. As some readers might recall, the first edition of ANTS was titled “ANTS’98 – From Ant Colonies to Artificial Ants: First International Workshop on Ant Colony Op- mization. ” In fact, at that time the focus was mainly on ant colony optimization (ACO), the first swarm intelligence algorithm to go beyond a pure scientific interest and to enter the realm of real-world applications. Interestingly, in the ten years after the first edition there has been a gr- ing interest not only for ACO, but for a number of other studies that belong more generally to the area of swarmintelligence. The rapid growth of the swarm intelligence field is attested by a number of indicators. First, the number of s- missions and participants to the ANTS conferences has steadily increased over the years. Second, a number of international conferences in computational - intelligence and related disciplines organize workshops on subjects such as swarm intelligence, ant algorithms, ant colony optimization, and particle swarm op- mization. Third, IEEE startedorganizing,in 2003, the IEEE SwarmIntelligence Symposium (in order to maintain unity in this growing field, we are currently establishing a cooperation agreement between IEEE SISandANTSsoastohave 1 IEEE SIS in odd years and ANTS in even years). Last, the Swarm Intelligence journal was born.

Avi Ostfeld ... 352 pages - Publisher: InTech; 1st edition (February, 2011) ...
Language: English - ISBN-10: N/A - ISBN-13: 978-9533071572 ...

Ants communicate information by leaving pheromone tracks. A moving ant leaves, in varying quantities, some pheromone on the ground to mark its way. While an isolated ant moves essentially at random, an ant encountering a previously laid trail is able to detect it and decide with high probability to follow it, thus reinforcing the track with its own pheromone. The collective behavior that emerges is thus a positive feedback: where the more the ants following a track, the more attractive that track becomes for being followed; thus the probability with which an ant chooses a path increases with the number of ants that previously chose the same path. This elementary ant's behavior inspired the development of ant colony optimization by Marco Dorigo in 1992, constructing a meta-heuristic stochastic combinatorial computational methodology belonging to a family of related meta-heuristic methods such as simulated annealing, Tabu search and genetic algorithms. This book covers in twenty chapters state of the art methods and applications of utilizing ant colony optimization algorithms. New methods and theory such as multi colony ant algorithm based upon a new pheromone arithmetic crossover and a repulsive operator, new findings on ant colony convergence, and a diversity of engineering and science applications from transportation, water resources, electrical and computer science disciplines are presented.