International Joint Conference Soco14 Cisis14 Iceute14

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International Joint Conference

Author : Álvaro Herrero
Publisher : Springer
ISBN 13 : 3319197134
Total Pages : 621 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis International Joint Conference by : Álvaro Herrero

Download or read book International Joint Conference written by Álvaro Herrero and published by Springer. This book was released on 2015-05-31 with total page 621 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume of Advances in Intelligent and Soft Computing contains accepted papers presented at the 8th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2015) and the 6th International Conference on European Transnational Education (ICEUTE 2015). These conferences were held in the beautiful and historic city of Burgos (Spain), in June 2015. The aim of the 8th CISIS conference is to offer a meeting opportunity for academic and industry-related researchers belonging to the various, vast communities of Computational Intelligence, Information Security, and Data Mining. The need for intelligent, flexible behaviour by large, complex systems, especially in mission-critical domains, is intended to be the catalyst and the aggregation stimulus for the overall event. After a through peer-review process, the CISIS 2015 International Program Committee selected 43 papers, written by authors from 16 different countries. In the case of 6th ICEUTE conference, the International Program Committee selected 12 papers (from 7 countries). These papers are published in present conference proceedings, achieving an acceptance rate of about 39%. The selection of papers was extremely rigorous in order to maintain the high quality of the conference and we would like to thank the members of the Program Committees for their hard work in the reviewing process. This is a crucial process to the creation of a high standard conference and the CISIS and ICEUTE conferences would not exist without their help.

Reinforcement Learning and Dynamic Programming Using Function Approximators

Author : Lucian Busoniu
Publisher : CRC Press
ISBN 13 : 1439821097
Total Pages : 280 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Reinforcement Learning and Dynamic Programming Using Function Approximators by : Lucian Busoniu

Download or read book Reinforcement Learning and Dynamic Programming Using Function Approximators written by Lucian Busoniu and published by CRC Press. This book was released on 2017-07-28 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: From household appliances to applications in robotics, engineered systems involving complex dynamics can only be as effective as the algorithms that control them. While Dynamic Programming (DP) has provided researchers with a way to optimally solve decision and control problems involving complex dynamic systems, its practical value was limited by algorithms that lacked the capacity to scale up to realistic problems. However, in recent years, dramatic developments in Reinforcement Learning (RL), the model-free counterpart of DP, changed our understanding of what is possible. Those developments led to the creation of reliable methods that can be applied even when a mathematical model of the system is unavailable, allowing researchers to solve challenging control problems in engineering, as well as in a variety of other disciplines, including economics, medicine, and artificial intelligence. Reinforcement Learning and Dynamic Programming Using Function Approximators provides a comprehensive and unparalleled exploration of the field of RL and DP. With a focus on continuous-variable problems, this seminal text details essential developments that have substantially altered the field over the past decade. In its pages, pioneering experts provide a concise introduction to classical RL and DP, followed by an extensive presentation of the state-of-the-art and novel methods in RL and DP with approximation. Combining algorithm development with theoretical guarantees, they elaborate on their work with illustrative examples and insightful comparisons. Three individual chapters are dedicated to representative algorithms from each of the major classes of techniques: value iteration, policy iteration, and policy search. The features and performance of these algorithms are highlighted in extensive experimental studies on a range of control applications. The recent development of applications involving complex systems has led to a surge of interest in RL and DP methods and the subsequent need for a quality resource on the subject. For graduate students and others new to the field, this book offers a thorough introduction to both the basics and emerging methods. And for those researchers and practitioners working in the fields of optimal and adaptive control, machine learning, artificial intelligence, and operations research, this resource offers a combination of practical algorithms, theoretical analysis, and comprehensive examples that they will be able to adapt and apply to their own work. Access the authors' website at www.dcsc.tudelft.nl/rlbook/ for additional material, including computer code used in the studies and information concerning new developments.

Stability Augmentation of a Grid-connected Wind Farm

Author : S. M. Muyeen
Publisher : Springer Science & Business Media
ISBN 13 : 1848003161
Total Pages : 259 pages
Book Rating : 4.8/5 (48 download)

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Book Synopsis Stability Augmentation of a Grid-connected Wind Farm by : S. M. Muyeen

Download or read book Stability Augmentation of a Grid-connected Wind Farm written by S. M. Muyeen and published by Springer Science & Business Media. This book was released on 2008-09-25 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt: “Stability Augmentation of a Grid-connected Wind Farm” introduces a comprehensive approach to stabilizing the power output from wind farms, covering both fixed and variable speed wind turbine generator systems. The book presents the different tools suitable for application in wind farms, together with modeling and control strategies. The book reports on output power and terminal voltage fluctuation minimization, using the integration of energy storage systems with power electronic converters. Transient stability enhancement of the power systems is also discussed. “Stability Augmentation of a Grid-connected Wind Farm” provides advanced tools with detailed modeling and controller design, including extensive simulation results.

Computational Intelligence

Author : Nazmul Siddique
Publisher : John Wiley & Sons
ISBN 13 : 1118534816
Total Pages : 524 pages
Book Rating : 4.1/5 (185 download)

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Book Synopsis Computational Intelligence by : Nazmul Siddique

Download or read book Computational Intelligence written by Nazmul Siddique and published by John Wiley & Sons. This book was released on 2013-05-06 with total page 524 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Intelligence: Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing presents an introduction to some of the cutting edge technological paradigms under the umbrella of computational intelligence. Computational intelligence schemes are investigated with the development of a suitable framework for fuzzy logic, neural networks and evolutionary computing, neuro-fuzzy systems, evolutionary-fuzzy systems and evolutionary neural systems. Applications to linear and non-linear systems are discussed with examples. Key features: Covers all the aspects of fuzzy, neural and evolutionary approaches with worked out examples, MATLAB® exercises and applications in each chapter Presents the synergies of technologies of computational intelligence such as evolutionary fuzzy neural fuzzy and evolutionary neural systems Considers real world problems in the domain of systems modelling, control and optimization Contains a foreword written by Lotfi Zadeh Computational Intelligence: Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing is an ideal text for final year undergraduate, postgraduate and research students in electrical, control, computer, industrial and manufacturing engineering.

Knowledge Discovery from Data Streams

Author : Joao Gama
Publisher : CRC Press
ISBN 13 : 1439826129
Total Pages : 256 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Knowledge Discovery from Data Streams by : Joao Gama

Download or read book Knowledge Discovery from Data Streams written by Joao Gama and published by CRC Press. This book was released on 2010-05-25 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since the beginning of the Internet age and the increased use of ubiquitous computing devices, the large volume and continuous flow of distributed data have imposed new constraints on the design of learning algorithms. Exploring how to extract knowledge structures from evolving and time-changing data, Knowledge Discovery from Data Streams presents

Introduction to Cryptography with Open-Source Software

Author : Alasdair McAndrew
Publisher : CRC Press
ISBN 13 : 1439825718
Total Pages : 456 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Introduction to Cryptography with Open-Source Software by : Alasdair McAndrew

Download or read book Introduction to Cryptography with Open-Source Software written by Alasdair McAndrew and published by CRC Press. This book was released on 2016-04-19 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: Once the privilege of a secret few, cryptography is now taught at universities around the world. Introduction to Cryptography with Open-Source Software illustrates algorithms and cryptosystems using examples and the open-source computer algebra system of Sage. The author, a noted educator in the field, provides a highly practical learning experienc

Essentials of Metaheuristics (Second Edition)

Author : Sean Luke
Publisher :
ISBN 13 : 9781300549628
Total Pages : 242 pages
Book Rating : 4.5/5 (496 download)

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Book Synopsis Essentials of Metaheuristics (Second Edition) by : Sean Luke

Download or read book Essentials of Metaheuristics (Second Edition) written by Sean Luke and published by . This book was released on 2012-12-20 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: Interested in the Genetic Algorithm? Simulated Annealing? Ant Colony Optimization? Essentials of Metaheuristics covers these and other metaheuristics algorithms, and is intended for undergraduate students, programmers, and non-experts. The book covers a wide range of algorithms, representations, selection and modification operators, and related topics, and includes 71 figures and 135 algorithms great and small. Algorithms include: Gradient Ascent techniques, Hill-Climbing variants, Simulated Annealing, Tabu Search variants, Iterated Local Search, Evolution Strategies, the Genetic Algorithm, the Steady-State Genetic Algorithm, Differential Evolution, Particle Swarm Optimization, Genetic Programming variants, One- and Two-Population Competitive Coevolution, N-Population Cooperative Coevolution, Implicit Fitness Sharing, Deterministic Crowding, NSGA-II, SPEA2, GRASP, Ant Colony Optimization variants, Guided Local Search, LEM, PBIL, UMDA, cGA, BOA, SAMUEL, ZCS, XCS, and XCSF.

Research in Attacks, Intrusions, and Defenses

Author : Marc Dacier
Publisher : Springer
ISBN 13 : 3319663321
Total Pages : 501 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Research in Attacks, Intrusions, and Defenses by : Marc Dacier

Download or read book Research in Attacks, Intrusions, and Defenses written by Marc Dacier and published by Springer. This book was released on 2017-10-10 with total page 501 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed conference proceedings of the 20th International Symposium on Research in Attacks, Intrusions, and Defenses, RAID 2017, held in Atlanta, GA, USA, in September 2017. The 21 revised full papers were selected from 105 submissions. They are organized in the following topics: software security, intrusion detection, systems security, android security, cybercrime, cloud security, network security.

Combinatorial Algorithms

Author : Donald L. Kreher
Publisher : CRC Press
ISBN 13 : 1000141373
Total Pages : 346 pages
Book Rating : 4.0/5 (1 download)

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Book Synopsis Combinatorial Algorithms by : Donald L. Kreher

Download or read book Combinatorial Algorithms written by Donald L. Kreher and published by CRC Press. This book was released on 2020-09-24 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook thoroughly outlines combinatorial algorithms for generation, enumeration, and search. Topics include backtracking and heuristic search methods applied to various combinatorial structures, such as: Combinations Permutations Graphs Designs Many classical areas are covered as well as new research topics not included in most existing texts, such as: Group algorithms Graph isomorphism Hill-climbing Heuristic search algorithms This work serves as an exceptional textbook for a modern course in combinatorial algorithms, providing a unified and focused collection of recent topics of interest in the area. The authors, synthesizing material that can only be found scattered through many different sources, introduce the most important combinatorial algorithmic techniques - thus creating an accessible, comprehensive text that students of mathematics, electrical engineering, and computer science can understand without needing a prior course on combinatorics.

Cuckoo Search and Firefly Algorithm

Author : Xin-She Yang
Publisher : Springer
ISBN 13 : 3319021419
Total Pages : 366 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Cuckoo Search and Firefly Algorithm by : Xin-She Yang

Download or read book Cuckoo Search and Firefly Algorithm written by Xin-She Yang and published by Springer. This book was released on 2013-10-31 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nature-inspired algorithms such as cuckoo search and firefly algorithm have become popular and widely used in recent years in many applications. These algorithms are flexible, efficient and easy to implement. New progress has been made in the last few years, and it is timely to summarize the latest developments of cuckoo search and firefly algorithm and their diverse applications. This book will review both theoretical studies and applications with detailed algorithm analysis, implementation and case studies so that readers can benefit most from this book. Application topics are contributed by many leading experts in the field. Topics include cuckoo search, firefly algorithm, algorithm analysis, feature selection, image processing, travelling salesman problem, neural network, GPU optimization, scheduling, queuing, multi-objective manufacturing optimization, semantic web service, shape optimization, and others. This book can serve as an ideal reference for both graduates and researchers in computer science, evolutionary computing, machine learning, computational intelligence, and optimization, as well as engineers in business intelligence, knowledge management and information technology.

Artificial Intelligence

Author : Michael Negnevitsky
Publisher : Pearson Education
ISBN 13 : 9780321204660
Total Pages : 454 pages
Book Rating : 4.2/5 (46 download)

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Book Synopsis Artificial Intelligence by : Michael Negnevitsky

Download or read book Artificial Intelligence written by Michael Negnevitsky and published by Pearson Education. This book was released on 2005 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt: Keeping the maths to a minimum, Negnevitsky explains the principles of AI, demonstrates how systems are built, what they are useful for and how to choose the right tool for the job.

Swarm Intelligence and Bio-Inspired Computation

Author : Xin-She Yang
Publisher : Newnes
ISBN 13 : 0124051774
Total Pages : 445 pages
Book Rating : 4.1/5 (24 download)

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Book Synopsis Swarm Intelligence and Bio-Inspired Computation by : Xin-She Yang

Download or read book Swarm Intelligence and Bio-Inspired Computation written by Xin-She Yang and published by Newnes. This book was released on 2013-05-16 with total page 445 pages. Available in PDF, EPUB and Kindle. Book excerpt: Swarm Intelligence and bio-inspired computation have become increasing popular in the last two decades. Bio-inspired algorithms such as ant colony algorithms, bat algorithms, bee algorithms, firefly algorithms, cuckoo search and particle swarm optimization have been applied in almost every area of science and engineering with a dramatic increase of number of relevant publications. This book reviews the latest developments in swarm intelligence and bio-inspired computation from both the theory and application side, providing a complete resource that analyzes and discusses the latest and future trends in research directions. It can help new researchers to carry out timely research and inspire readers to develop new algorithms. With its impressive breadth and depth, this book will be useful for advanced undergraduate students, PhD students and lecturers in computer science, engineering and science as well as researchers and engineers. Focuses on the introduction and analysis of key algorithms Includes case studies for real-world applications Contains a balance of theory and applications, so readers who are interested in either algorithm or applications will all benefit from this timely book.

Learning from Data Streams

Author : João Gama
Publisher : Springer Science & Business Media
ISBN 13 : 3540736786
Total Pages : 486 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Learning from Data Streams by : João Gama

Download or read book Learning from Data Streams written by João Gama and published by Springer Science & Business Media. This book was released on 2007-10-11 with total page 486 pages. Available in PDF, EPUB and Kindle. Book excerpt: Processing data streams has raised new research challenges over the last few years. This book provides the reader with a comprehensive overview of stream data processing, including famous prototype implementations like the Nile system and the TinyOS operating system. Applications in security, the natural sciences, and education are presented. The huge bibliography offers an excellent starting point for further reading and future research.

Evolving Fuzzy Systems - Methodologies, Advanced Concepts and Applications

Author : Edwin Lughofer
Publisher : Springer
ISBN 13 : 3642180876
Total Pages : 467 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Evolving Fuzzy Systems - Methodologies, Advanced Concepts and Applications by : Edwin Lughofer

Download or read book Evolving Fuzzy Systems - Methodologies, Advanced Concepts and Applications written by Edwin Lughofer and published by Springer. This book was released on 2011-01-31 with total page 467 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today’s real-world applications, there is an increasing demand of integrating new information and knowledge on-demand into model building processes to account for changing system dynamics, new operating conditions, varying human behaviors or environmental influences. Evolving fuzzy systems (EFS) are a powerful tool to cope with this requirement, as they are able to automatically adapt parameters, expand their structure and extend their memory on-the-fly, allowing on-line/real-time modeling. This book comprises several evolving fuzzy systems approaches which have emerged during the last decade and highlights the most important incremental learning methods used. The second part is dedicated to advanced concepts for increasing performance, robustness, process-safety and reliability, for enhancing user-friendliness and enlarging the field of applicability of EFS and for improving the interpretability and understandability of the evolved models. The third part underlines the usefulness and necessity of evolving fuzzy systems in several online real-world application scenarios, provides an outline of potential future applications and raises open problems and new challenges for the next generation evolving systems, including human-inspired evolving machines. The book includes basic principles, concepts, algorithms and theoretic results underlined by illustrations. It is dedicated to researchers from the field of fuzzy systems, machine learning, data mining and system identification as well as engineers and technicians who apply data-driven modeling techniques in real-world systems.

Evolvable Systems: From Biology to Hardware

Author : Andy M. Tyrrell
Publisher : Springer
ISBN 13 : 3540365532
Total Pages : 481 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Evolvable Systems: From Biology to Hardware by : Andy M. Tyrrell

Download or read book Evolvable Systems: From Biology to Hardware written by Andy M. Tyrrell and published by Springer. This book was released on 2007-10-08 with total page 481 pages. Available in PDF, EPUB and Kindle. Book excerpt: The idea of evolving machines, whose origins can be traced to the cybernetics movementofthe1940sand1950s,hasrecentlyresurgedintheformofthenascent ?eld of bio-inspired systems and evolvable hardware. The inaugural workshop, Towards Evolvable Hardware, took place in Lausanne in October 1995, followed by the First International Conference on Evolvable Systems: From Biology to Hardware (ICES), held in Tsukuba, Japan in October 1996. The second ICES conference was held in Lausanne in September 1998, with the third and fourth being held in Edinburgh, April 2000 and Tokyo, October 2001 respectively. This has become the leading conference in the ?eld of evolvable systems and the 2003 conference promised to be at least as good as, if not better than, the four that preceeded it. The ?fth international conference was built on the success of its predec- sors, aiming at presenting the latest developments in the ?eld. In addition, it brought together researchers who use biologically inspired concepts to imp- ment real systems in arti?cial intelligence, arti?cial life, robotics, VLSI design and related domains. We would say that this ?fth conference followed on from the previous four in that it consisted of a number of high-quality interesting thought-provoking papers.

Nature Inspired Cooperative Strategies for Optimization (NICSO 2010)

Author : Carlos Cruz
Publisher : Springer Science & Business Media
ISBN 13 : 3642125379
Total Pages : 401 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Nature Inspired Cooperative Strategies for Optimization (NICSO 2010) by : Carlos Cruz

Download or read book Nature Inspired Cooperative Strategies for Optimization (NICSO 2010) written by Carlos Cruz and published by Springer Science & Business Media. This book was released on 2010-04-07 with total page 401 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many aspects of Nature, Biology or even from Society have become part of the techniques and algorithms used in computer science or they have been used to enhance or hybridize several techniques through the inclusion of advanced evolution, cooperation or biologically based additions. The previous NICSO workshops were held in Granada, Spain, 2006, Acireale, Italy, 2007, and in Tenerife, Spain, 2008. As in the previous editions, NICSO 2010, held in Granada, Spain, was conceived as a forum for the latest ideas and the state of the art research related to nature inspired cooperative strategies. The contributions collected in this book cover topics including nature-inspired techniques like Genetic Algorithms, Evolutionary Algorithms, Ant and Bee Colonies, Swarm Intelligence approaches, Neural Networks, several Cooperation Models, Structures and Strategies, Agents Models, Social Interactions, as well as new algorithms based on the behaviour of fireflies or bats.

Nonlinear Dimensionality Reduction

Author : John A. Lee
Publisher : Springer Science & Business Media
ISBN 13 : 038739351X
Total Pages : 316 pages
Book Rating : 4.3/5 (873 download)

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Book Synopsis Nonlinear Dimensionality Reduction by : John A. Lee

Download or read book Nonlinear Dimensionality Reduction written by John A. Lee and published by Springer Science & Business Media. This book was released on 2007-10-31 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes established and advanced methods for reducing the dimensionality of numerical databases. Each description starts from intuitive ideas, develops the necessary mathematical details, and ends by outlining the algorithmic implementation. The text provides a lucid summary of facts and concepts relating to well-known methods as well as recent developments in nonlinear dimensionality reduction. Methods are all described from a unifying point of view, which helps to highlight their respective strengths and shortcomings. The presentation will appeal to statisticians, computer scientists and data analysts, and other practitioners having a basic background in statistics or computational learning.