ART-based Fuzzy Classifiers

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Publisher : Cuvillier Verlag
ISBN 13 : 3865370578
Total Pages : 215 pages
Book Rating : 4.8/5 (653 download)

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Book Synopsis ART-based Fuzzy Classifiers by : Elena Sapojnikova

Download or read book ART-based Fuzzy Classifiers written by Elena Sapojnikova and published by Cuvillier Verlag. This book was released on 2004 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Knowledge-Based Intelligent Information and Engineering Systems

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Publisher : Springer
ISBN 13 : 3540452265
Total Pages : 1495 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Knowledge-Based Intelligent Information and Engineering Systems by : Vasile Palade

Download or read book Knowledge-Based Intelligent Information and Engineering Systems written by Vasile Palade and published by Springer. This book was released on 2003-10-25 with total page 1495 pages. Available in PDF, EPUB and Kindle. Book excerpt: During recent decades we have witnessed not only the introduction of automation into the work environment but we have also seen a dramatic change in how automation has influenced the conditions of work. While some 30 years ago the addition of a computer was considered only for routine and boring tasks in support of humans, the balance has dramatically shifted to the computer being able to perform almost any task the human is willing to delegate. The very fast pace of change in processor and information technology has been the main driving force behind this development. Advances in automation and especially Artificial Intelligence (AI) have enabled the formation of a rather unique team with human and electronic members. The team is still supervised by the human with the machine as a subordinate associate or assistant, sharing responsibility, authority and autonomy over many tasks. The requirement for teaming human and machine in a highly dynamic and unpredictable task environment has led to impressive achievements in many supporting technologies. These include methods for system analysis, design and engineering and in particular for information processing, for cognitive and complex knowledge [1] engineering .

Knowledge-Based Intelligent Information and Engineering Systems 1.

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Publisher : Springer Science & Business Media
ISBN 13 : 3540408037
Total Pages : 1532 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Knowledge-Based Intelligent Information and Engineering Systems 1. by : Vasile Palade

Download or read book Knowledge-Based Intelligent Information and Engineering Systems 1. written by Vasile Palade and published by Springer Science & Business Media. This book was released on 2003-08-27 with total page 1532 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two volumes LNAI 2773 and LNAI 2774 constitute the refereed proceedings of the 7th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2003, held in Oxford, UK in September 2003. The 390 revised papers and poster papers presented were carefully reviewed and selected from numerous submissions. Among the areas covered are knowledge-based systems, neural computing, fuzzy logic, uncertainty, machine learning, soft computing, agent systems, intelligent agents, data mining, knowledge discovery, hybrid intelligent systems, natural language processing, information retrieval, Web applications, case-based reasoning, evolutionary computing, signal processing, ontologies, decision making, human-computer interaction, intelligent user interfaces, neuroscience, intelligent agents, biocomputing, etc.

ICT Innovations 2010

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Publisher : Springer
ISBN 13 : 3642193250
Total Pages : 390 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis ICT Innovations 2010 by : Marjan Gusev

Download or read book ICT Innovations 2010 written by Marjan Gusev and published by Springer. This book was released on 2011-02-24 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Second International Conference, ICT Innovations 2010, held in Ohrid, Macedonia, in September 2010. The 33 revised papers presented together with 5 invited papers were carefully reviewed and selected. The papers address the following topics: internet applications and services, artificial intelligence, bioinformatics, internet, mobile and wireless technologies, multimedia information systems, computer networks, computer security, e-business, cryptography, high-performance-computing, social networks, e-government, as well as GPU computing.

Advances in Intelligent Data Analysis VIII

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Publisher : Springer
ISBN 13 : 3642039154
Total Pages : 429 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Advances in Intelligent Data Analysis VIII by : Niall M. Adams

Download or read book Advances in Intelligent Data Analysis VIII written by Niall M. Adams and published by Springer. This book was released on 2009-08-27 with total page 429 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 8th International Conference on Intelligent Data Analysis, IDA 2009, held in Lyon, France, August 31 - September 2, 2009. The 33 revised papers, 18 full oral presentations and 15 poster and short oral presentations, presented were carefully reviewed and selected from almost 80 submissions. All current aspects of this interdisciplinary field are addressed; for example interactive tools to guide and support data analysis in complex scenarios, increasing availability of automatically collected data, tools that intelligently support and assist human analysts, how to control clustering results and isotonic classification trees. In general the areas covered include statistics, machine learning, data mining, classification and pattern recognition, clustering, applications, modeling, and interactive dynamic data visualization.

Information Technologies in Environmental Engineering

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Publisher : Springer Science & Business Media
ISBN 13 : 3540883517
Total Pages : 605 pages
Book Rating : 4.5/5 (48 download)

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Book Synopsis Information Technologies in Environmental Engineering by : Ioannis N. Athanasiadis

Download or read book Information Technologies in Environmental Engineering written by Ioannis N. Athanasiadis and published by Springer Science & Business Media. This book was released on 2009-05-28 with total page 605 pages. Available in PDF, EPUB and Kindle. Book excerpt: Information technologies have evolved to an enabling science for natural resource management and conservation, environmental engineering, scientific simulation and integrated assessment studies. Computing plays a significant role in every day practices of environmental engineers, natural scientists, economists, and social scientists. The complexity of natural phenomena requires interdisciplinary approaches, where computing science offers the infrastructure for environmental data collection and management, scientific simulations, decision support documentation and reporting. Ecology, environmental engineering and natural resource management comprise an excellent real-world testbed for IT system demonstration, while raising new challenges for computer science. Complexity, uncertainty and scaling issues of natural systems form a demanding application domain for sensor networks and earth observation systems; modelling, simulation and scientific workflows, data management and reporting, decision support and intelligent systems, distributed computing environments, geographical information systems, heterogeneous systems integration, software engineering, accounting systems and control systems. This books offers a collection of papers presented at the 4th International Symposium on Environmental Engineering, held in May 2009, in Thessaloniki, Greece. Recent success stories in ecoinformatics, promising ideas and new challenges are discussed among computer scientists, environmental engineers, economists and social scientists, demonstrating new paradigms for problem solving and decision making.

Computational Intelligence Based on Lattice Theory

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Publisher : Springer
ISBN 13 : 354072687X
Total Pages : 375 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Computational Intelligence Based on Lattice Theory by : Vassilis G. Kaburlasos

Download or read book Computational Intelligence Based on Lattice Theory written by Vassilis G. Kaburlasos and published by Springer. This book was released on 2007-06-26 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: This eighteen-chapter book presents the latest applications of lattice theory in Computational Intelligence (CI). The book focuses on neural computation, mathematical morphology, machine learning, and (fuzzy) inference/logic. The book comes out of a special session held during the World Council for Curriculum and Instruction World Conference (WCCI 2006). The articles presented here demonstrate how lattice theory may suggest viable alternatives in practical clustering, classification, pattern analysis, and regression applications.

Machine Intelligence

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Publisher : World Scientific
ISBN 13 : 9789812562531
Total Pages : 480 pages
Book Rating : 4.5/5 (625 download)

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Book Synopsis Machine Intelligence by : Peter Sincak

Download or read book Machine Intelligence written by Peter Sincak and published by World Scientific. This book was released on 2004 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings together the contributions of leading researchers inthe field of machine intelligence, covering areas such as fuzzy logic, neural networks, evolutionary computation and hybrid systems.There is wide coverage of the subject from simple tools, throughindustrial applications, to applications in high-level intelligentsystems which are biologically motivated, such as humanoid robots (andselected parts of these systems, like the visual cortex). Readers willgain a comprehensive overview of the issues in machine intelligence, afield which promises to play a very important role in the informationsociety of the future

Information, Uncertainty and Fusion

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Publisher : Springer Science & Business Media
ISBN 13 : 1461552095
Total Pages : 456 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Information, Uncertainty and Fusion by : Bernadette Bouchon-Meunier

Download or read book Information, Uncertainty and Fusion written by Bernadette Bouchon-Meunier and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: As we stand at the precipice of the twenty first century the ability to capture and transmit copious amounts of information is clearly a defining feature of the human race. In order to increase the value of this vast supply of information we must develop means for effectively processing it. Newly emerging disciplines such as Information Engineering and Soft Computing are being developed in order to provide the tools required. Conferences such as the International Conference on Information Processing and ManagementofUncertainty in Knowledge-based Systems (IPMU) are being held to provide forums in which researchers can discuss the latest developments. The recent IPMU conference held at La Sorbonne in Paris brought together some of the world's leading experts in uncertainty and information fusion. In this volume we have included a selection ofpapers from this conference. What should be clear from looking at this volume is the number of different ways that are available for representing uncertain information. This variety in representational frameworks is a manifestation of the different types of uncertainty that appear in the information available to the users. Perhaps, the representation with the longest history is probability theory. This representation is best at addressing the uncertainty associated with the occurrence of different values for similar variables. This uncertainty is often described as randomness. Rough sets can be seen as a type of uncertainty that can deal effectively with lack of specificity, it is a powerful tool for manipulating granular information.

Fuzzy Logic in Its 50th Year

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Publisher : Springer
ISBN 13 : 3319310933
Total Pages : 406 pages
Book Rating : 4.3/5 (193 download)

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Book Synopsis Fuzzy Logic in Its 50th Year by : Cengiz Kahraman

Download or read book Fuzzy Logic in Its 50th Year written by Cengiz Kahraman and published by Springer. This book was released on 2016-05-17 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a multifaceted perspective on fuzzy set theory, discussing its developments over the last 50 years. It reports on all types of fuzzy sets, from ordinary to hesitant fuzzy sets, with each one explained by its own developers, authoritative scientists well known for their previous works. Highlighting recent theorems and proofs, the book also explores how fuzzy set theory has come to be extensively used in almost all branches of science, including the health sciences, decision science, earth science and the social sciences alike. It presents a wealth of real-world sample applications, from routing problem to robotics, and from agriculture to engineering. By offering a comprehensive, timely and detailed portrait of the field, the book represents an excellent reference guide for researchers, lecturers and postgraduate students pursuing research on new fuzzy set extensions.

Computational Intelligence for Knowledge-Based System Design

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Publisher : Springer Science & Business Media
ISBN 13 : 3642140483
Total Pages : 786 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Computational Intelligence for Knowledge-Based System Design by : Eyke Hüllermeier

Download or read book Computational Intelligence for Knowledge-Based System Design written by Eyke Hüllermeier and published by Springer Science & Business Media. This book was released on 2010-06-17 with total page 786 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book constitutes the refereed proceedings of the 13th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2010, held in Dortmund, Germany from June 28 - July 2, 2010. The 77 revised full papers were carefully reviewed and selected from 320 submissions and reflect the richness of research in the field of Computational Intelligence and represent developments on topics as: machine learning, data mining, pattern recognition, uncertainty handling, aggregation and fusion of information as well as logic and knowledge processing.

Handbook on Decision Making

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Publisher : Springer Science & Business Media
ISBN 13 : 3642136397
Total Pages : 539 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Handbook on Decision Making by : Chee Peng Lim

Download or read book Handbook on Decision Making written by Chee Peng Lim and published by Springer Science & Business Media. This book was released on 2010-09-07 with total page 539 pages. Available in PDF, EPUB and Kindle. Book excerpt: Decision making arises when we wish to select the best possible course of action from a set of alternatives. With advancements of the digital technologies, it is easy, and almost instantaneous, to gather a large volume of information and/or data pertaining to a problem that we want to solve. For instance, the world-wi- web is perhaps the primary source of information and/or data that we often turn to when we face a decision making problem. However, the information and/or data that we obtain from the real world often are complex, and comprise various kinds of noise. Besides, real-world information and/or data often are incomplete and ambiguous, owing to uncertainties of the environments. All these make decision making a challenging task. To cope with the challenges of decision making, - searchers have designed and developed a variety of decision support systems to provide assistance in human decision making processes. The main aim of this book is to provide a small collection of techniques stemmed from artificial intelligence, as well as other complementary methodo- gies, that are useful for the design and development of intelligent decision support systems. Application examples of how these intelligent decision support systems can be utilized to help tackle a variety of real-world problems in different - mains, e. g. business, management, manufacturing, transportation and food ind- tries, and biomedicine, are also presented. A total of twenty chapters, which can be broadly divided into two parts, i. e.

Improving Classifier Generalization

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Publisher : Springer Nature
ISBN 13 : 9811950733
Total Pages : 181 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Improving Classifier Generalization by : Rahul Kumar Sevakula

Download or read book Improving Classifier Generalization written by Rahul Kumar Sevakula and published by Springer Nature. This book was released on 2022-09-29 with total page 181 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book elaborately discusses techniques commonly used to improve generalization performance in classification approaches. The contents highlight methods to improve classification performance in numerous case studies: ranging from datasets of UCI repository to predictive maintenance problems and cancer classification problems. The book specifically provides a detailed tutorial on how to approach time-series classification problems and discusses two real time case studies on condition monitoring. In addition to describing the various aspects a data scientist must consider before finalizing their approach to a classification problem and reviewing the state of the art for improving classification generalization performance, it also discusses in detail the authors own contributions to the field, including MVPC - a classifier with very low VC dimension, a graphical indices based framework for reliable predictive maintenance and a novel general-purpose membership functions for Fuzzy Support Vector Machine which provides state of the art performance with noisy datasets, and a novel scheme to introduce deep learning in Fuzzy Rule based classifiers (FRCs). This volume will serve as a useful reference for researchers and students working on machine learning, health monitoring, predictive maintenance, time-series analysis, gene-expression data classification.

Neural Networks in QSAR and Drug Design

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Publisher : Academic Press
ISBN 13 : 0080537383
Total Pages : 309 pages
Book Rating : 4.0/5 (85 download)

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Book Synopsis Neural Networks in QSAR and Drug Design by : James Devillers

Download or read book Neural Networks in QSAR and Drug Design written by James Devillers and published by Academic Press. This book was released on 1996-08-09 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: Comprehensive and impeccably edited, Neural Networks in QSAR and Drug Design is the first book to present an all-inclusive coverage of the topic. The book provides a practice-oriented introduction to the different neural network paradigms, allowing the reader to easily understand and reproduce the results demonstrated. Numerous examples are detailed, demonstrating a variety of applications to QSAR and drug design.The contributors include some of the most distinguished names in the field, and the book provides an exhaustive bibliography, guiding readers to all the literature related to a particular type of application or neural network paradigm. The extensive index acts as a guide to the book, and makes retrieving information from chapters an easy task. A further research aid is a list of software with indications of availablility and price, as well as the editors scale rating the ease of use and interest/price ratio of each software package. The presentation of new, powerful tools for modeling molecular properties and the inclusion of many important neural network paradigms, coupled with extensive reference aids, makes Neural Networks in QSAR and Drug Design an essential reference source for those on the frontiers of this field. - Presents the first coverage of neural networks in QSAR and Drug Design - Allows easy understanding and reproduction of the results described within - Includes an exhaustive bibliography with more than 200 references - Provides a list of applicable software packages with availability and price

New Frontiers in Applied Artificial Intelligence

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Publisher : Springer Science & Business Media
ISBN 13 : 354069045X
Total Pages : 896 pages
Book Rating : 4.5/5 (46 download)

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Book Synopsis New Frontiers in Applied Artificial Intelligence by : Ngoc Thanh Nguyen

Download or read book New Frontiers in Applied Artificial Intelligence written by Ngoc Thanh Nguyen and published by Springer Science & Business Media. This book was released on 2008-06-03 with total page 896 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 21st International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2008, held in Wroclaw, Poland, in June 2008. The 75 revised full papers presented were carefully reviewed and selected from 302 submissions. The papers are organized in topical sections on computer vision, fuzzy system applications, robot and manufacturing, data mining and KDS, neural networks, machine learning, natural language processing, internet application and education, heuristic search, application systems, agent-based system, evolutionary and genetic algorithms, knowledge management, and other applications. The book concludes with 15 contributions from the following special sessions: knowledge driven manufacturing systems, joint session on adaptive networked systems and fuzzy knowledge bases, and software agents and multi-agent systems.

Fuzzy Systems

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Publisher : Springer Science & Business Media
ISBN 13 : 1461555051
Total Pages : 532 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Fuzzy Systems by : Hung T. Nguyen

Download or read book Fuzzy Systems written by Hung T. Nguyen and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 532 pages. Available in PDF, EPUB and Kindle. Book excerpt: The analysis and control of complex systems have been the main motivation for the emergence of fuzzy set theory since its inception. It is also a major research field where many applications, especially industrial ones, have made fuzzy logic famous. This unique handbook is devoted to an extensive, organized, and up-to-date presentation of fuzzy systems engineering methods. The book includes detailed material and extensive bibliographies, written by leading experts in the field, on topics such as: Use of fuzzy logic in various control systems. Fuzzy rule-based modeling and its universal approximation properties. Learning and tuning techniques for fuzzy models, using neural networks and genetic algorithms. Fuzzy control methods, including issues such as stability analysis and design techniques, as well as the relationship with traditional linear control. Fuzzy sets relation to the study of chaotic systems, and the fuzzy extension of set-valued approaches to systems modeling through the use of differential inclusions. Fuzzy Systems: Modeling and Control is part of The Handbooks of Fuzzy Sets Series. The series provides a complete picture of contemporary fuzzy set theory and its applications. This volume is a key reference for systems engineers and scientists seeking a guide to the vast amount of literature in fuzzy logic modeling and control.

Towards a Unified Modeling and Knowledge-Representation based on Lattice Theory

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Publisher : Springer Science & Business Media
ISBN 13 : 3540341706
Total Pages : 245 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Towards a Unified Modeling and Knowledge-Representation based on Lattice Theory by : Vassilis G. Kaburlasos

Download or read book Towards a Unified Modeling and Knowledge-Representation based on Lattice Theory written by Vassilis G. Kaburlasos and published by Springer Science & Business Media. This book was released on 2007-02-07 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: This research monograph proposes a unified, cross-fertilizing approach for knowledge-representation and modeling based on lattice theory. The emphasis is on clustering, classification, and regression applications. It presents novel tools and useful perspectives for effective pattern classification. The material is multi-disciplinary based on on-going research published in major scientific journals and conferences.