Download Multi-Objective Swarm Intelligent Systems by Nadia Nedjah (.PDF)

Multi-Objective Swarm Intelligent Systems: Theory & Experiences by Nadia Nedjah, Leandro Santos Coelho, Luiza Macedo Mourelle
Requirements: .PDF reader, 5 MB
Overview: The editors of this volume, Nadia Nedjah, Leandro dos Santos Coelho and Luiza de Macedo Mourelle, have done a superb job of assembling some of the most innovative and intriguing applications and additions to the methodology and theory of multi-objective swarm intelligence — the immitation of social swarms behaviors for the solution of optimization problems with respect to many criteria.

Genre: Non-Fiction > Tech & Devices

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Download Swarm Intelligence by Carlos Artemio Coello Coello (.PDF)

Swarm Intelligence for Multi-objective Problems in Data Mining by Carlos Artemio Coello Coello, Satchidananda Dehuri, Susmita Ghosh
Requirements: .PDF reader, 7 MB
Overview: The purpose of this book is to collect contributions that are at the intersection of multi-objective optimization, swarm intelligence (specifically, particle swarm optimization and ant colony optimization) and data mining. Such a collection intends to illustrate the potential of multi-objective swarm intelligence techniques in data mining, with the aim of motivating more researchers in evolutionary computation and machine learning to do research in this field.
Genre: Non-Fiction > Tech & Devices

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Download Theory and Applications of Ontology by Roberto Poli (.PDF)

Theory and Applications of Ontology: Computer Applications by Roberto Poli, Michael Healy, Achilles Kameas
Requirements: .PDF reader, 10 MB
Overview: Ontology was once understood to be the philosophical inquiry into the structure of reality: the analysis and categorization of ‘what there is’. Recently, however, a field called ‘ontology’ has become part of the rapidly growing research industry in information technology. The two fields have more in common than just their name.

Theory and Applications of Ontology is a two-volume anthology that aims to further an informed discussion about the relationship between ontology in philosophy and ontology in information technology. It fills an important lacuna in cutting-edge research on ontology in both fields, supplying stage-setting overview articles on history and method, presenting directions of current research in either field, and highlighting areas of productive interdisciplinary contact.

Theory and Applications of Ontology: Computer Applications presents ontology in ways that philosophers are not likely to find elsewhere. The volume offers an overview of current research in ontology, distinguishing basic conceptual issues, domain applications, general frameworks, and mathematical formalisms. It introduces the reader to current research on frameworks and applications in information technology in ways that are sure to invite reflection and constructive responses from ontologists in philosophy.
Genre: Non-Fiction > Tech & Devices

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Download Neural Networks Theory by Alexander I. Galushkin (.PDF)

Neural Networks Theory by Alexander I. Galushkin
Requirements: .PDF reader, 16 MB
Overview: “Neural Networks Theory is a major contribution to the neural networks literature. It is a treasure trove that should be mined by the thousands of researchers and practitioners worldwide who have not previously had access to the fruits of Soviet and Russian neural network research. Dr. Galushkin is to be congratulated and thanked for his completion of this monumental work; a book that only he could write. It is a major gift to the world.”

Robert Hecht Nielsen, Computational Neurobiology, University of California, San Diego

“Professor Galushkin’s monograph has many unique features that in totality make his work an important contribution to the literature of neural networks theory. He and his publisher deserve profuse thanks and congratulations from all who are seriously interested in the foundations of neural networks theory, its evolution and current status.”

Lotfi Zadeh, Berkeley, Founder of Fuzziness

“Professor Galushkin, a leader in neural networks theory in Russia, uses mathematical methods in combination with complexity theory, nonlinear dynamics and optimization, concepts that are solidly grounded in Russian tradition. His theory is expansive: covering not just the traditional topics such as network architecture, it also addresses neural continua in function spaces. I am pleased to see his theory presented in its entirety here, for the first time for many, so that the both theory he developed and the approach he took to understand such complex phenomena can be fully appreciated.”

Sun-Ichi Amari, Director of RIKEN Brain Science Institute RIKEN
Genre: Non-Fiction > Tech & Devices

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Download Do Smart Adaptive Systems Exist? by Bogdan Gabrys (.PDF)

Do Smart Adaptive Systems Exist?: Best Practice for Selection and Combination of Intelligent Methods by Bogdan Gabrys, Kauko Leiviskä, Jens Strackeljan
Requirements: .PDF reader, 5 MB
Overview: Do Smart Adaptive Systems Exist? is intended as a reference and a guide summarising and focusing on best practices when using intelligent techniques and building systems requiring a degree of adaptation and intelligence.

It is therefore not intended as a collection of the most recent research results, but as a practical guide for experts from other areas and industrial users interested in building solutions to their problems using intelligent techniques. One of the main issues covered is an attempt to answer the question of how to select and/or combine suitable intelligent techniques from a large pool of potential solutions.

Another attractive feature of the book is that it brings together experts from neural network, fuzzy, machine learning, evolutionary and hybrid systems communities who will provide their views on how these different intelligent technologies have contributed and will contribute to creation of smart adaptive systems of the future.
Genre: Non-Fiction > Tech & Devices

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