Foundations Of Computational Intelligence Volume 3

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Foundations of Computational Intelligence

Ajith Abraham,Aboul-Ella Hassanien,André Ponce de Leon F. de Carvalho,Vaclav Sná#el
Foundations of Computational Intelligence Book PDF

Author : Ajith Abraham,Aboul-Ella Hassanien,André Ponce de Leon F. de Carvalho,Vaclav Sná#el
Publisher : Springer Science & Business Media
Page : 397 pages
File Size : 49,7 Mb
Release : 2009-04-27
Category : Mathematics
ISBN : 9783642010903

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Foundations of Computational Intelligence by Ajith Abraham,Aboul-Ella Hassanien,André Ponce de Leon F. de Carvalho,Vaclav Sná#el Pdf

Foundations of Computational Intelligence Volume 6: Data Mining: Theoretical Foundations and Applications Finding information hidden in data is as theoretically difficult as it is practically important. With the objective of discovering unknown patterns from data, the methodologies of data mining were derived from statistics, machine learning, and artificial intelligence, and are being used successfully in application areas such as bioinformatics, business, health care, banking, retail, and many others. Advanced representation schemes and computational intelligence techniques such as rough sets, neural networks; decision trees; fuzzy logic; evolutionary algorithms; arti- cial immune systems; swarm intelligence; reinforcement learning, association rule mining, Web intelligence paradigms etc. have proved valuable when they are - plied to Data Mining problems. Computational tools or solutions based on intel- gent systems are being used with great success in Data Mining applications. It is also observed that strong scientific advances have been made when issues from different research areas are integrated. This Volume comprises of 15 chapters including an overview chapter providing an up-to-date and state-of-the research on the applications of Computational Int- ligence techniques for Data Mining. The book is divided into 3 parts: Part-I: Data Click Streams and Temporal Data Mining Part-II: Text and Rule Mining Part-III: Applications Part I on Data Click Streams and Temporal Data Mining contains four chapters that describe several approaches in Data Click Streams and Temporal Data Mining.

Foundations of Computational Intelligence Volume 3

Ajith Abraham,Aboul-Ella Hassanien,Patrick Siarry,Andries Engelbrecht
Foundations of Computational Intelligence Volume 3 Book PDF

Author : Ajith Abraham,Aboul-Ella Hassanien,Patrick Siarry,Andries Engelbrecht
Publisher : Springer Science & Business Media
Page : 531 pages
File Size : 41,5 Mb
Release : 2009-04-27
Category : Computers
ISBN : 9783642010842

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Foundations of Computational Intelligence Volume 3 by Ajith Abraham,Aboul-Ella Hassanien,Patrick Siarry,Andries Engelbrecht Pdf

Global optimization is a branch of applied mathematics and numerical analysis that deals with the task of finding the absolutely best set of admissible conditions to satisfy certain criteria / objective function(s), formulated in mathematical terms. Global optimization includes nonlinear, stochastic and combinatorial programming, multiobjective programming, control, games, geometry, approximation, algorithms for parallel architectures and so on. Due to its wide usage and applications, it has gained the attention of researchers and practitioners from a plethora of scientific domains. Typical practical examples of global optimization applications include: Traveling salesman problem and electrical circuit design (minimize the path length); safety engineering (building and mechanical structures); mathematical problems (Kepler conjecture); Protein structure prediction (minimize the energy function) etc. Global Optimization algorithms may be categorized into several types: Deterministic (example: branch and bound methods), Stochastic optimization (example: simulated annealing). Heuristics and meta-heuristics (example: evolutionary algorithms) etc. Recently there has been a growing interest in combining global and local search strategies to solve more complicated optimization problems. This edited volume comprises 17 chapters, including several overview Chapters, which provides an up-to-date and state-of-the art research covering the theory and algorithms of global optimization. Besides research articles and expository papers on theory and algorithms of global optimization, papers on numerical experiments and on real world applications were also encouraged. The book is divided into 2 main parts.

Foundations of Computational Intelligence Volume 5

Ajith Abraham,Aboul-Ella Hassanien,Vaclav Snášel
Foundations of Computational Intelligence Volume 5 Book PDF

Author : Ajith Abraham,Aboul-Ella Hassanien,Vaclav Snášel
Publisher : Springer
Page : 376 pages
File Size : 46,7 Mb
Release : 2009-07-11
Category : Technology & Engineering
ISBN : 9783642015366

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Foundations of Computational Intelligence Volume 5 by Ajith Abraham,Aboul-Ella Hassanien,Vaclav Snášel Pdf

Foundations of Computational Intelligence Volume 5: Function Approximation and Classification Approximation theory is that area of analysis which is concerned with the ability to approximate functions by simpler and more easily calculated functions. It is an area which, like many other fields of analysis, has its primary roots in the mat- matics. The need for function approximation and classification arises in many branches of applied mathematics, computer science and data mining in particular. This edited volume comprises of 14 chapters, including several overview Ch- ters, which provides an up-to-date and state-of-the art research covering the theory and algorithms of function approximation and classification. Besides research ar- cles and expository papers on theory and algorithms of function approximation and classification, papers on numerical experiments and real world applications were also encouraged. The Volume is divided into 2 parts: Part-I: Function Approximation and Classification – Theoretical Foundations Part-II: Function Approximation and Classification – Success Stories and Real World Applications Part I on Function Approximation and Classification – Theoretical Foundations contains six chapters that describe several approaches Feature Selection, the use Decomposition of Correlation Integral, Some Issues on Extensions of Information and Dynamic Information System and a Probabilistic Approach to the Evaluation and Combination of Preferences Chapter 1 “Feature Selection for Partial Least Square Based Dimension Red- tion” by Li and Zeng investigate a systematic feature reduction framework by combing dimension reduction with feature selection. To evaluate the proposed framework authors used four typical data sets.

Foundations of Computational Intelligence

Aboul-Ella Hassanien,Ajith Abraham,Athanasios V. Vasilakos,Witold Pedrycz
Foundations of Computational Intelligence Book PDF

Author : Aboul-Ella Hassanien,Ajith Abraham,Athanasios V. Vasilakos,Witold Pedrycz
Publisher : Springer Science & Business Media
Page : 401 pages
File Size : 41,7 Mb
Release : 2009-05-05
Category : Computers
ISBN : 9783642010811

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Foundations of Computational Intelligence by Aboul-Ella Hassanien,Ajith Abraham,Athanasios V. Vasilakos,Witold Pedrycz Pdf

Recent years have seen numerous applications across a variety of fields using various techniques of Computational Intelligence. This book, one of a series on the foundations of Computational Intelligence, is focused on learning and approximation.

Springer Handbook of Computational Intelligence

Janusz Kacprzyk,Witold Pedrycz
Springer Handbook of Computational Intelligence Book PDF

Author : Janusz Kacprzyk,Witold Pedrycz
Publisher : Springer
Page : 1634 pages
File Size : 47,6 Mb
Release : 2015-05-28
Category : Technology & Engineering
ISBN : 9783662435052

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Springer Handbook of Computational Intelligence by Janusz Kacprzyk,Witold Pedrycz Pdf

The Springer Handbook for Computational Intelligence is the first book covering the basics, the state-of-the-art and important applications of the dynamic and rapidly expanding discipline of computational intelligence. This comprehensive handbook makes readers familiar with a broad spectrum of approaches to solve various problems in science and technology. Possible approaches include, for example, those being inspired by biology, living organisms and animate systems. Content is organized in seven parts: foundations; fuzzy logic; rough sets; evolutionary computation; neural networks; swarm intelligence and hybrid computational intelligence systems. Each Part is supervised by its own Part Editor(s) so that high-quality content as well as completeness are assured.

Fundamentals of Computational Intelligence

James M. Keller,Derong Liu,David B. Fogel
Fundamentals of Computational Intelligence Book PDF

Author : James M. Keller,Derong Liu,David B. Fogel
Publisher : John Wiley & Sons
Page : 378 pages
File Size : 42,8 Mb
Release : 2016-07-13
Category : Technology & Engineering
ISBN : 9781119214366

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Fundamentals of Computational Intelligence by James M. Keller,Derong Liu,David B. Fogel Pdf

Provides an in-depth and even treatment of the three pillars of computational intelligence and how they relate to one another This book covers the three fundamental topics that form the basis of computational intelligence: neural networks, fuzzy systems, and evolutionary computation. The text focuses on inspiration, design, theory, and practical aspects of implementing procedures to solve real-world problems. While other books in the three fields that comprise computational intelligence are written by specialists in one discipline, this book is co-written by current former Editor-in-Chief of IEEE Transactions on Neural Networks and Learning Systems, a former Editor-in-Chief of IEEE Transactions on Fuzzy Systems, and the founding Editor-in-Chief of IEEE Transactions on Evolutionary Computation. The coverage across the three topics is both uniform and consistent in style and notation. Discusses single-layer and multilayer neural networks, radial-basis function networks, and recurrent neural networks Covers fuzzy set theory, fuzzy relations, fuzzy logic interference, fuzzy clustering and classification, fuzzy measures and fuzzy integrals Examines evolutionary optimization, evolutionary learning and problem solving, and collective intelligence Includes end-of-chapter practice problems that will help readers apply methods and techniques to real-world problems Fundamentals of Computational intelligence is written for advanced undergraduates, graduate students, and practitioners in electrical and computer engineering, computer science, and other engineering disciplines.

Foundations of Computational Intelligence Volume 2

Aboul-Ella Hassanien,Ajith Abraham,Francisco Herrera
Foundations of Computational Intelligence Volume 2 Book PDF

Author : Aboul-Ella Hassanien,Ajith Abraham,Francisco Herrera
Publisher : Springer Science & Business Media
Page : 313 pages
File Size : 45,9 Mb
Release : 2009-06-15
Category : Mathematics
ISBN : 9783642015328

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Foundations of Computational Intelligence Volume 2 by Aboul-Ella Hassanien,Ajith Abraham,Francisco Herrera Pdf

Foundations of Computational Intelligence Volume 2: Approximation Reasoning: Theoretical Foundations and Applications Human reasoning usually is very approximate and involves various types of - certainties. Approximate reasoning is the computational modelling of any part of the process used by humans to reason about natural phenomena or to solve real world problems. The scope of this book includes fuzzy sets, Dempster-Shafer theory, multi-valued logic, probability, random sets, and rough set, near set and hybrid intelligent systems. Besides research articles and expository papers on t- ory and algorithms of approximation reasoning, papers on numerical experiments and real world applications were also encouraged. This Volume comprises of 12 chapters including an overview chapter providing an up-to-date and state-of-the research on the applications of Computational Intelligence techniques for - proximation reasoning. The Volume is divided into 2 parts: Part-I: Approximate Reasoning – Theoretical Foundations Part-II: Approximate Reasoning – Success Stories and Real World Applications Part I on Approximate Reasoning – Theoretical Foundations contains four ch- ters that describe several approaches of fuzzy and Para consistent annotated logic approximation reasoning. In Chapter 1, “Fuzzy Sets, Near Sets, and Rough Sets for Your Computational Intelligence Toolbox” by Peters considers how a user might utilize fuzzy sets, near sets, and rough sets, taken separately or taken together in hybridizations as part of a computational intelligence toolbox. In multi-criteria decision making, it is necessary to aggregate (combine) utility values corresponding to several criteria (parameters).

Recent Advances in Decision Making

Elisabeth Rakus-Andersson,Ronald R. Yager,Nikhil Ichalkaranje
Recent Advances in Decision Making Book PDF

Author : Elisabeth Rakus-Andersson,Ronald R. Yager,Nikhil Ichalkaranje
Publisher : Springer Science & Business Media
Page : 184 pages
File Size : 43,6 Mb
Release : 2009-08-04
Category : Business & Economics
ISBN : 9783642021862

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Recent Advances in Decision Making by Elisabeth Rakus-Andersson,Ronald R. Yager,Nikhil Ichalkaranje Pdf

Intelligent paradigms are increasingly finding their ways in the design and development of decision support systems. This book presents a sample of recent research results from key researchers. The contributions include: Introduction to intelligent systems in decision making - A new method of ranking intuitionistic fuzzy alternatives - Fuzzy rule base model identification by bacterial memetic algorithms - Discovering associations with uncertainty from large databases - Dempster-Shafer structures, monotonic set measures and decision making - Interpretable decision-making models - A general methodology for managerial decision making - Supporting decision making via verbalization of data analysis results using linguistic data summaries - Computational intelligence in medical decisions making. This book is directed to the researchers, graduate students, professors, decision makers and to those who are interested to investigate intelligent paradigms in decision making.

Hybrid Self-Organizing Modeling Systems

Godfrey C Onwubolu
Hybrid Self Organizing Modeling Systems Book PDF

Author : Godfrey C Onwubolu
Publisher : Springer Science & Business Media
Page : 297 pages
File Size : 40,8 Mb
Release : 2009-06-15
Category : Mathematics
ISBN : 9783642015298

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Hybrid Self-Organizing Modeling Systems by Godfrey C Onwubolu Pdf

The Group Method of Data Handling (GMDH) is a typical inductive modeling method that is built on principles of self-organization for modeling complex systems. This book clearly presents hybrids of some computational intelligence techniques and GMDH approach.

Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing

Roger Lee,Naohiro Ishii
Software Engineering Artificial Intelligence Networking and Parallel Distributed Computing Book PDF

Author : Roger Lee,Naohiro Ishii
Publisher : Springer
Page : 284 pages
File Size : 40,9 Mb
Release : 2009-05-02
Category : Technology & Engineering
ISBN : 9783642012037

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Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing by Roger Lee,Naohiro Ishii Pdf

The purpose of the 10th ACIS International Conference on Software Engineering Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD rd 2009), held in Daegu, Korea on May 27–29, 2009, the 3 International Workshop st on e-Activity (IWEA 2009) and the 1 International Workshop on Enterprise Architecture Challenges and Responses (WEACR 2009) is to aim at bringing together researchers and scientist, businessmen and entrepreneurs, teachers and students to discuss the numerous fields of computer science, and to share ideas and information in a meaningful way. Our conference officers selected the best 24 papers from those papers accepted for presentation at the conference in order to publish them in this volume. The papers were chosen based on review scores submitted by members of the program committee, and underwent further rounds of rigorous review. In chapter 1, Igor Crk and Chris Gniady propose a network-aware energy m- agement mechanism that provides a low-cost solution that can significantly reduce energy consumption in the entire system while maintaining responsiveness of local interactive workloads. Their dynamic mechanisms reduce the decision delay before the disk is spun-up, reduce the number of erroneous spin-ups in local wo- stations, decrease the network bandwidth, and reduce the energy consumption of individual drives. In chapter 2, Yoshihito Saito and Tokuro Matsuo describe a task allocation mechanism and its performance concerning with software developing. They run simulations and discuss the results in terms of effective strategies of task allocation.

Computational Intelligence Techniques for Bioprocess Modelling, Supervision and Control

Maria Carmo Nicoletti
Computational Intelligence Techniques for Bioprocess Modelling Supervision and Control Book PDF

Author : Maria Carmo Nicoletti
Publisher : Springer
Page : 341 pages
File Size : 49,7 Mb
Release : 2009-07-09
Category : Technology & Engineering
ISBN : 9783642018886

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Computational Intelligence Techniques for Bioprocess Modelling, Supervision and Control by Maria Carmo Nicoletti Pdf

Computational Intelligence (CI) and Bioprocess are well-established research areas which have much to offer each other. Under the perspective of the CI area, Biop- cess can be considered a vast application area with a growing number of complex and challenging tasks to be dealt with, whose solutions can contribute to boosting the development of new intelligent techniques as well as to help the refinement and s- cialization of many of the already existing techniques. Under the perspective of the Bioprocess area, CI can be considered a useful repertoire of theories, methods and techniques that can contribute and offer interesting alternative approaches for solving many of its problems, particularly those hard to solve using conventional techniques. Although throughout the past years CI and Bioprocess areas have accumulated substantial specific knowledge and progress has been quick and with a high degree of success, we believe there is still a long way to go in order to use the potentialities of the available CI techniques and knowledge at their full extent, as tools for supporting problem solving in bioprocesses. One of the reasons is the fact that both areas have progressed steadily and have been continuously accumulating and refining specific knowledge; another reason is the high level of technical expertise demanded by each of them. The acquisition of technical skills, experience and good insights in either of the two areas is very demanding and a hard task to be accomplished by any professional.

Tree-Structure based Hybrid Computational Intelligence

Yuehui Chen,Ajith Abraham
Tree Structure based Hybrid Computational Intelligence Book PDF

Author : Yuehui Chen,Ajith Abraham
Publisher : Springer Science & Business Media
Page : 211 pages
File Size : 40,7 Mb
Release : 2009-11-27
Category : Computers
ISBN : 9783642047398

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Tree-Structure based Hybrid Computational Intelligence by Yuehui Chen,Ajith Abraham Pdf

Research in computational intelligence is directed toward building thinking machines and improving our understanding of intelligence. As evident, the ultimate achievement in this field would be to mimic or exceed human cognitive capabilities including reasoning, recognition, creativity, emotions, understanding, learning and so on. In this book, the authors illustrate an hybrid computational intelligence framework and it applications for various problem solving tasks. Based on tree-structure based encoding and the specific function operators, the models can be flexibly constructed and evolved by using simple computational intelligence techniques. The main idea behind this model is the flexible neural tree, which is very adaptive, accurate and efficient. Based on the pre-defined instruction/operator sets, a flexible neural tree model can be created and evolved. This volume comprises of 6 chapters including an introductory chapter giving the fundamental definitions and the last Chapter provides some important research challenges. Academics, scientists as well as engineers engaged in research, development and application of computational intelligence techniques and data mining will find the comprehensive coverage of this book invaluable.

Applied Mathematics and Computational Intelligence

Anna M. Gil-Lafuente,José M. Merigó,Bal Kishan Dass,Rajkumar Verma
Applied Mathematics and Computational Intelligence Book PDF

Author : Anna M. Gil-Lafuente,José M. Merigó,Bal Kishan Dass,Rajkumar Verma
Publisher : Springer
Page : 428 pages
File Size : 40,7 Mb
Release : 2018-03-06
Category : Technology & Engineering
ISBN : 9783319757926

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Applied Mathematics and Computational Intelligence by Anna M. Gil-Lafuente,José M. Merigó,Bal Kishan Dass,Rajkumar Verma Pdf

This book gathers selected papers presented at the conference of the Forum for Interdisciplinary Mathematics (FIM), held at Palau Macaya, Barcelona, on 18 to 20 November, 2015. The event was co-organized by the University of Barcelona (Spain), the Spanish Royal Academy of Economic and Financial Sciences (Spain) and the Forum for Interdisciplinary Mathematics (India). This instalment of the conference was presented with the title “Applied Mathematics and Computational Intelligence” and particularly focused on the use of Mathematics and Computational Intelligence techniques in a diverse range of scientific disciplines, as well as their applications in real-world problems. The book presents thirty peer-reviewed research papers, organised into four topical sections: on Mathematical Foundations; Computational Intelligence and Optimization Techniques; Modelling and Simulation Techniques; and Applications in Business and Engineering. This book will be of great interest to anyone working in the area of applied mathematics and computational intelligence and will be especially useful for scientists and graduate students pursuing research in these fields.

Computer and Information Science 2009

Roger Lee,Gongzu Hu,Huaikou Miao
Computer and Information Science 2009 Book PDF

Author : Roger Lee,Gongzu Hu,Huaikou Miao
Publisher : Springer
Page : 304 pages
File Size : 43,7 Mb
Release : 2009-05-01
Category : Technology & Engineering
ISBN : 9783642012099

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Computer and Information Science 2009 by Roger Lee,Gongzu Hu,Huaikou Miao Pdf

This volume includes the best papers of the IEEE/ACIS International Conference on Computer and Information Science, ICIS 2009, held on June 2009 in Shanghai, China.

Networked Knowledge - Networked Media

Tassilo Pellegrini,Sören Auer,Klaus Tochtermann,Sebastian Schaffert
Networked Knowledge Networked Media Book PDF

Author : Tassilo Pellegrini,Sören Auer,Klaus Tochtermann,Sebastian Schaffert
Publisher : Springer Science & Business Media
Page : 340 pages
File Size : 49,7 Mb
Release : 2009-07-21
Category : Computers
ISBN : 9783642021831

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Networked Knowledge - Networked Media by Tassilo Pellegrini,Sören Auer,Klaus Tochtermann,Sebastian Schaffert Pdf

This book explores the increasing convergence of Social Media and Semantic Web technologies. It offers up-to-date contributions that illustrate various approaches to this young and emerging technology area.