New Learning Paradigms In Soft Computing

New Learning Paradigms In Soft Computing Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of New Learning Paradigms In Soft Computing book. This book definitely worth reading, it is an incredibly well-written.

New Learning Paradigms in Soft Computing

Lakhmi C. Jain,Janusz Kacprzyk
New Learning Paradigms in Soft Computing Book PDF

Author : Lakhmi C. Jain,Janusz Kacprzyk
Publisher : Physica
Page : 477 pages
File Size : 48,6 Mb
Release : 2013-06-05
Category : Computers
ISBN : 9783790818031

Get Book

New Learning Paradigms in Soft Computing by Lakhmi C. Jain,Janusz Kacprzyk Pdf

Learning is a key issue in the analysis and design of all kinds of intelligent systems. In recent time many new paradigms of automated (machine) learning have been proposed in the literature. Soft computing, that has proved to be an effective and efficient tool in so many areas of science and technology, seems to offer new qualities in the realm of machine learning too. The purpose of this volume is to present some new learning paradigms that have been triggered, or at least strongly influenced by soft computing tools and techniques, mainly related to neural networks, fuzzy logic, rough sets, and evolutionary computations.

A New Paradigm of Knowledge Engineering by Soft Computing

Liya Ding,Fuzzy Logic Systems Institute
A New Paradigm of Knowledge Engineering by Soft Computing Book PDF

Author : Liya Ding,Fuzzy Logic Systems Institute
Publisher : World Scientific
Page : 392 pages
File Size : 55,7 Mb
Release : 2001
Category : Computers
ISBN : 9789810245177

Get Book

A New Paradigm of Knowledge Engineering by Soft Computing by Liya Ding,Fuzzy Logic Systems Institute Pdf

Soft computing (SC) consists of several computing paradigms, including neural networks, fuzzy set theory, approximate reasoning, and derivative-free optimization methods such as genetic algorithms. The integration of those constituent methodologies forms the core of SC. In addition, the synergy allows SC to incorporate human knowledge effectively, deal with imprecision and uncertainty, and learn to adapt to unknown or changing environments for better performance. Together with other modern technologies, SC and its applications exert unprecedented influence on intelligent systems that mimic human intelligence in thinking, learning, reasoning, and many other aspects. Knowledge engineering (KE), which deals with knowledge acquisition, representation, validation, inferencing, explanation, and maintenance, has made significant progress recently, owing to the indefatigable efforts of researchers. Undoubtedly, the hot topics of data mining and knowledge/data discovery have injected new life into the classical AI,world. This book tells readers how KE has been influenced and extended by SC and how SC will be helpful in pushing the frontier of KE further. It is intended for researchers and graduate students to use as a reference in the study of knowledge engineering and intelligent systems. The reader is expected to have a basic knowledge of fuzzy logic, neural networks, genetic algorithms, and knowledge-based systems.

Innovative Teaching Strategies and New Learning Paradigms in Computer Programming

Ricardo Queirós
Innovative Teaching Strategies and New Learning Paradigms in Computer Programming Book PDF

Author : Ricardo Queirós
Publisher : IGI Global
Page : 339 pages
File Size : 46,8 Mb
Release : 2014-11-30
Category : Education
ISBN : 9781466673052

Get Book

Innovative Teaching Strategies and New Learning Paradigms in Computer Programming by Ricardo Queirós Pdf

Courses in computer programming combine a number of different concepts, from general problem-solving to mathematical precepts such as algorithms and computational intelligence. Due to the complex nature of computer science education, teaching the novice programmer can be a challenge. Innovative Teaching Strategies and New Learning Paradigms in Computer Programming brings together pedagogical and technological methods to address the recent challenges that have developed in computer programming courses. Focusing on educational tools, computer science concepts, and educational design, this book is an essential reference source for teachers, practitioners, and scholars interested in improving the success rate of students.

Soft Computing in Textile Sciences

Les M. Sztandera,Christopher Pastore
Soft Computing in Textile Sciences Book PDF

Author : Les M. Sztandera,Christopher Pastore
Publisher : Physica
Page : 172 pages
File Size : 47,5 Mb
Release : 2013-03-20
Category : Computers
ISBN : 9783790817508

Get Book

Soft Computing in Textile Sciences by Les M. Sztandera,Christopher Pastore Pdf

Textiles and computing have long been associated. High volume and low profit margins of textile products have driven the industry to invest in high technology, particularly in the area of data interpretation and analysis. Thus, it is virtually inevitable that soft computing has found a home in the textile industry. Contained in this volume are six chapters discussing various aspects of soft computing in the field of textiles and apparel.

Computational Intelligence Paradigms

Mika Sato-Ilic,Maria Virvou,George A Tsihrintzis,Valentina Emilia Balas,Canicious Abeynayake
Computational Intelligence Paradigms Book PDF

Author : Mika Sato-Ilic,Maria Virvou,George A Tsihrintzis,Valentina Emilia Balas,Canicious Abeynayake
Publisher : Springer
Page : 281 pages
File Size : 41,5 Mb
Release : 2008-06-17
Category : Technology & Engineering
ISBN : 9783540794745

Get Book

Computational Intelligence Paradigms by Mika Sato-Ilic,Maria Virvou,George A Tsihrintzis,Valentina Emilia Balas,Canicious Abeynayake Pdf

System designers are faced with a large set of data which has to be analysed and processed efficiently. Advanced computational intelligence paradigms present tremendous advantages by offering capabilities such as learning, generalisation and robustness. These capabilities help in designing complex systems which are intelligent and robust. The book includes a sample of research on the innovative applications of advanced computational intelligence paradigms. The characteristics of computational intelligence paradigms such as learning, generalization based on learned knowledge, knowledge extraction from imprecise and incomplete data are the extremely important for the implementation of intelligent machines. The chapters include architectures of computational intelligence paradigms, knowledge discovery, pattern classification, clusters, support vector machines and gene linkage analysis. We believe that the research on computational intelligence will simulate great interest among designers and researchers of complex systems. It is important to use the fusion of various constituents of computational intelligence to offset the demerits of one paradigm by the merits of another.

Software Engineering Aspects of Continuous Development and New Paradigms of Software Production and Deployment

Jean-Michel Bruel,Manuel Mazzara,Bertrand Meyer
Software Engineering Aspects of Continuous Development and New Paradigms of Software Production and Deployment Book PDF

Author : Jean-Michel Bruel,Manuel Mazzara,Bertrand Meyer
Publisher : Springer Nature
Page : 221 pages
File Size : 52,7 Mb
Release : 2020-01-18
Category : Computers
ISBN : 9783030393069

Get Book

Software Engineering Aspects of Continuous Development and New Paradigms of Software Production and Deployment by Jean-Michel Bruel,Manuel Mazzara,Bertrand Meyer Pdf

This book constitutes revised selected papers of the Second International Workshop on Software Engineering Aspects of Continuous Development and New Paradigms of Software Production and Deployment, DEVOPS 2019, held at the Château de Villebrumier, France, in May 2019. The 15 papers presented in this volume were carefully reviewed and selected from 19 submissions. They cover a wide range of problems arising from DevOps and related approaches: current tools, rapid development-deployment processes, modeling frameworks, anomaly detection in software releases, DevDataOps, microservices, and related topics.

Soft Computing in Industrial Electronics

Seppo J. Ovaska,Les M. Sztandera
Soft Computing in Industrial Electronics Book PDF

Author : Seppo J. Ovaska,Les M. Sztandera
Publisher : Physica
Page : 352 pages
File Size : 42,9 Mb
Release : 2013-06-05
Category : Technology & Engineering
ISBN : 9783790817836

Get Book

Soft Computing in Industrial Electronics by Seppo J. Ovaska,Les M. Sztandera Pdf

This volume provides practicing engineers with new solutions to demanding real-world problems. It presents applications of soft computing to the field of industrial electronics in two categories, electric power applications and emerging applications.

Issues and Challenges of Intelligent Systems and Computational Intelligence

László T. Kóczy,Claudiu R. Pozna,Janusz Kacprzyk
Issues and Challenges of Intelligent Systems and Computational Intelligence Book PDF

Author : László T. Kóczy,Claudiu R. Pozna,Janusz Kacprzyk
Publisher : Springer
Page : 318 pages
File Size : 47,7 Mb
Release : 2014-01-11
Category : Technology & Engineering
ISBN : 9783319032061

Get Book

Issues and Challenges of Intelligent Systems and Computational Intelligence by László T. Kóczy,Claudiu R. Pozna,Janusz Kacprzyk Pdf

This carefully edited book contains contributions of prominent and active researchers and scholars in the broadly perceived area of intelligent systems. The book is unique both with respect to the width of coverage of tools and techniques, and to the variety of problems that could be solved by the tools and techniques presented. The editors have been able to gather a very good collection of relevant and original papers by prominent representatives of many areas, relevant both to the theory and practice of intelligent systems, artificial intelligence, computational intelligence, soft computing, and the like. The contributions have been divided into 7 parts presenting first more fundamental and theoretical contributions, and then applications in relevant areas.

Evolution of Teaching and Learning Paradigms in Intelligent Environment

Raymond A. Tedman,Debra K. Tedman
Evolution of Teaching and Learning Paradigms in Intelligent Environment Book PDF

Author : Raymond A. Tedman,Debra K. Tedman
Publisher : Springer
Page : 308 pages
File Size : 41,8 Mb
Release : 2011-04-07
Category : Technology & Engineering
ISBN : 9783540719748

Get Book

Evolution of Teaching and Learning Paradigms in Intelligent Environment by Raymond A. Tedman,Debra K. Tedman Pdf

This book is a fascinating window on the evolution of teaching and learning paradigms in intelligent environments. It presents the latest ideas coming out of educational computing research. The three Australian authors include a number of chapters on issues of real relevance to today’s teaching practice, including an introduction to the evolution of teaching and learning paradigms; why designers cannot be agnostic about pedagogy, and the influence of constructivist thinking in design of e-learning for HE.

Computational Intelligence Systems and Applications

Marian B. Gorzalczany
Computational Intelligence Systems and Applications Book PDF

Author : Marian B. Gorzalczany
Publisher : Physica
Page : 367 pages
File Size : 43,9 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9783790818017

Get Book

Computational Intelligence Systems and Applications by Marian B. Gorzalczany Pdf

Traditional Artificial Intelligence (AI) systems adopted symbolic processing as their main paradigm. Symbolic AI systems have proved effective in handling problems characterized by exact and complete knowledge representation. Unfortunately, these systems have very little power in dealing with imprecise, uncertain and incomplete data and information which significantly contribute to the description of many real world problems, both physical systems and processes as well as mechanisms of decision making. Moreover, there are many situations where the expert domain knowledge (the basis for many symbolic AI systems) is not sufficient for the design of intelligent systems, due to incompleteness of the existing knowledge, problems caused by different biases of human experts, difficulties in forming rules, etc. In general, problem knowledge for solving a given problem can consist of an explicit knowledge (e.g., heuristic rules provided by a domain an implicit, hidden knowledge "buried" in past-experience expert) and numerical data. A study of huge amounts of these data (collected in databases) and the synthesizing of the knowledge "encoded" in them (also referred to as knowledge discovery in data or data mining), can significantly improve the performance of the intelligent systems designed.

Applications and Science in Soft Computing

Ahmad Lotfi,Jonathan M. Garibaldi
Applications and Science in Soft Computing Book PDF

Author : Ahmad Lotfi,Jonathan M. Garibaldi
Publisher : Springer Science & Business Media
Page : 351 pages
File Size : 44,5 Mb
Release : 2013-06-29
Category : Computers
ISBN : 9783540452409

Get Book

Applications and Science in Soft Computing by Ahmad Lotfi,Jonathan M. Garibaldi Pdf

Soft computing techniques have reached a significant level of recognition and - ceptance from both the academic and industrial communities. The papers collected in this volume illustrate the depth of the current theoretical research trends and the breadth of the application areas in which soft computing methods are making c- tributions. This volume consists of forty six selected papers presented at the Fourth Inter- tional Conference on Recent Advances in Soft Computing, which was held in N- th th tingham, United Kingdom on 12 and 13 December 2002 at Nottingham Trent University. This volume is organized in five parts. The first four parts address mainly the f- damental and theoretical advances in soft computing, namely Artificial Neural Networks, Evolutionary Computing, Fuzzy Systems and Hybrid Systems. The fifth part of this volume presents papers that deal with practical issues and ind- trial applications of soft computing techniques. We would like to express our sincere gratitude to all the authors who submitted contributions for inclusion. We are also indebted to Janusz Kacprzyk for his - vices related to this volume. We hope you find the volume an interesting refl- tion of current theoretical and application based soft computing research.

Data Mining, Rough Sets and Granular Computing

Tsau Young Lin,Yiyu Y. Yao,Lotfi A. Zadeh
Data Mining Rough Sets and Granular Computing Book PDF

Author : Tsau Young Lin,Yiyu Y. Yao,Lotfi A. Zadeh
Publisher : Physica
Page : 538 pages
File Size : 54,7 Mb
Release : 2013-11-11
Category : Computers
ISBN : 9783790817911

Get Book

Data Mining, Rough Sets and Granular Computing by Tsau Young Lin,Yiyu Y. Yao,Lotfi A. Zadeh Pdf

During the past few years, data mining has grown rapidly in visibility and importance within information processing and decision analysis. This is par ticularly true in the realm of e-commerce, where data mining is moving from a "nice-to-have" to a "must-have" status. In a different though related context, a new computing methodology called granular computing is emerging as a powerful tool for the conception, analysis and design of information/intelligent systems. In essence, data mining deals with summarization of information which is resident in large data sets, while granular computing plays a key role in the summarization process by draw ing together points (objects) which are related through similarity, proximity or functionality. In this perspective, granular computing has a position of centrality in data mining. Another methodology which has high relevance to data mining and plays a central role in this volume is that of rough set theory. Basically, rough set theory may be viewed as a branch of granular computing. However, its applications to data mining have predated that of granular computing.

Advances in Machine Learning I

Jacek Koronacki,Zbigniew W Ras,Slawomir T. Wierzchon
Advances in Machine Learning I Book PDF

Author : Jacek Koronacki,Zbigniew W Ras,Slawomir T. Wierzchon
Publisher : Springer Science & Business Media
Page : 521 pages
File Size : 40,9 Mb
Release : 2010-02-04
Category : Computers
ISBN : 9783642051760

Get Book

Advances in Machine Learning I by Jacek Koronacki,Zbigniew W Ras,Slawomir T. Wierzchon Pdf

Professor Richard S. Michalski passed away on September 20, 2007. Once we learned about his untimely death we immediately realized that we would no longer have with us a truly exceptional scholar and researcher who for several decades had been inf- encing the work of numerous scientists all over the world - not only in his area of expertise, notably machine learning, but also in the broadly understood areas of data analysis, data mining, knowledge discovery and many others. In fact, his influence was even much broader due to his creative vision, integrity, scientific excellence and exceptionally wide intellectual horizons which extended to history, political science and arts. Professor Michalski’s death was a particularly deep loss to the whole Polish sci- tific community and the Polish Academy of Sciences in particular. After graduation, he began his research career at the Institute of Automatic Control, Polish Academy of Science in Warsaw. In 1970 he left his native country and hold various prestigious positions at top US universities. His research gained impetus and he soon established himself as a world authority in his areas of interest – notably, he was widely cons- ered a father of machine learning.

Machine Learning Paradigms

George A. Tsihrintzis,Maria Virvou,Evangelos Sakkopoulos,Lakhmi C. Jain
Machine Learning Paradigms Book PDF

Author : George A. Tsihrintzis,Maria Virvou,Evangelos Sakkopoulos,Lakhmi C. Jain
Publisher : Springer
Page : 548 pages
File Size : 49,7 Mb
Release : 2019-07-06
Category : Technology & Engineering
ISBN : 9783030156282

Get Book

Machine Learning Paradigms by George A. Tsihrintzis,Maria Virvou,Evangelos Sakkopoulos,Lakhmi C. Jain Pdf

This book is the inaugural volume in the new Springer series on Learning and Analytics in Intelligent Systems. The series aims at providing, in hard-copy and soft-copy form, books on all aspects of learning, analytics, advanced intelligent systems and related technologies. These disciplines are strongly related and mutually complementary; accordingly, the new series encourages an integrated approach to themes and topics in these disciplines, which will result in significant cross-fertilization, research advances and new knowledge creation. To maximize the dissemination of research findings, the series will publish edited books, monographs, handbooks, textbooks and conference proceedings. This book is intended for professors, researchers, scientists, engineers and students. An extensive list of references at the end of each chapter allows readers to probe further into those application areas that interest them most.

Statistical Modeling, Analysis and Management of Fuzzy Data

Carlo Bertoluzza,Maria A. Gil,Dan A. Ralescu
Statistical Modeling Analysis and Management of Fuzzy Data Book PDF

Author : Carlo Bertoluzza,Maria A. Gil,Dan A. Ralescu
Publisher : Physica
Page : 315 pages
File Size : 54,5 Mb
Release : 2012-11-02
Category : Computers
ISBN : 9783790818000

Get Book

Statistical Modeling, Analysis and Management of Fuzzy Data by Carlo Bertoluzza,Maria A. Gil,Dan A. Ralescu Pdf

The contributions in this book state the complementary rather than competitive relationship between Probability and Fuzzy Set Theory and allow solutions to real life problems with suitable combinations of both theories.