Subcategories

Fuzziness, Democracy, Control and Collective Decision-choice System

Posted By: DZ123
Fuzziness, Democracy, Control and Collective Decision-choice System

Kofi Kissi Dompere, "Fuzziness, Democracy, Control and Collective Decision-choice System: A Theory on Political Economy of Rent-Seeking and Profit-Harvesting"
English | 2014 | ISBN: 3319053280 | PDF | pages: 273 | 8.0 mb

Random Sets and Random Fuzzy Sets as Ill-Perceived Random Variables: An Introduction for Ph.D. Students and Practitioners

Posted By: DZ123
Random Sets and Random Fuzzy Sets as Ill-Perceived Random Variables: An Introduction for Ph.D. Students and Practitioners

Inés Couso, Didier Dubois, Luciano Sánchez, "Random Sets and Random Fuzzy Sets as Ill-Perceived Random Variables: An Introduction for Ph.D. Students and Practitioners"
English | 2014 | ISBN: 3319086103 | PDF | pages: 104 | 1.5 mb

Advances in Fuzzy Clustering and its Applications

Posted By: AvaxGenius
Advances in Fuzzy Clustering and its Applications

Advances in Fuzzy Clustering and its Applications by J. Valente de Oliveira
English | PDF | 2007 | 436 Pages | ISBN : 0470027606 | 35.89 MB

A comprehensive, coherent, and in depth presentation of the state of the art in fuzzy clustering.
Fuzzy clustering is now a mature and vibrant area of research with highly innovative advanced applications. Encapsulating this through presenting a careful selection of research contributions, this book addresses timely and relevant concepts and methods, whilst identifying major challenges and recent developments in the area.

Algorithms and Networking for Computer Games

Posted By: AvaxGenius
Algorithms and Networking for Computer Games

Algorithms and Networking for Computer Games by Jouni Smed
English | PDF | 2006 | 271 Pages | ISBN : 0470018127 | 1.91 MB

Algorithms and Networking for Computer Games is an essential guide to solving the algorithmic and networking problems of modern commercial computer games, written from the perspective of a computer scientist. Combining algorithmic knowledge and game-related problems, the authors discuss all the common difficulties encountered in game programming.

Fuzzy Social Choice Theory

Posted By: DZ123
Fuzzy Social Choice Theory

B. Gibilisco, Michael, M. Gowen, Annie, E. Albert, Karen, "Fuzzy Social Choice Theory"
English | 2014 | ISBN: 331905175X | PDF | pages: 196 | 3.2 mb

Computational Intelligence and Big Data Analytics: Applications in Bioinformatics (Repost)

Posted By: AvaxGenius
Computational Intelligence and Big Data Analytics: Applications in Bioinformatics (Repost)

Computational Intelligence and Big Data Analytics: Applications in Bioinformatics by Ch. Satyanarayana
English | PDF,EPUB | 2018 (2019 Edition) | 139 Pages | ISBN : 9811305439 | 10.17 MB

This book highlights major issues related to big data analysis using computational intelligence techniques, mostly interdisciplinary in nature. It comprises chapters on computational intelligence technologies, such as neural networks and learning algorithms, evolutionary computation, fuzzy systems and other emerging techniques in data science and big data, ranging from methodologies, theory and algorithms for handling big data, to their applications in bioinformatics and related disciplines.

Applied Evolutionary Algorithms in Java

Posted By: AvaxGenius
Applied Evolutionary Algorithms in Java

Applied Evolutionary Algorithms in Java by Robert Ghanea-Hercock
English | EPUB | 2003 | 232 Pages | ISBN : 1468495267 | 8.35 MB

Genetic algorithms provide a powerful range of methods for solving complex engineering search and optimization algorithms. Their power can also lead to difficulty for new researchers and students who wish to apply such evolution-based methods. Applied Evolutionary Algorithms in JAVA offers a practical, hands-on guide to applying such algorithms to engineering and scientific problems.

Machine Learning in Medicine: Part Three

Posted By: AvaxGenius
Machine Learning in Medicine: Part Three

Machine Learning in Medicine: Part Three by Ton J. Cleophas
English | PDF,EPUB | 2013 | 234 Pages | ISBN : 9400778686 | 5.84 MB

Machine learning is concerned with the analysis of large data and multiple variables. It is also often more sensitive than traditional statistical methods to analyze small data. The first and second volumes reviewed subjects like optimal scaling, neural networks, factor analysis, partial least squares, discriminant analysis, canonical analysis, fuzzy modeling, various clustering models, support vector machines, Bayesian networks, discrete wavelet analysis, association rule learning, anomaly detection, and correspondence analysis.

Machine Learning in Medicine: Part Two

Posted By: AvaxGenius
Machine Learning in Medicine: Part Two

Machine Learning in Medicine: Part Two by Ton J. Cleophas
English | PDF,EPUB | 2013 | 234 Pages | ISBN : 9400768850 | 5.81 MB

Machine learning is concerned with the analysis of large data and multiple variables. However, it is also often more sensitive than traditional statistical methods to analyze small data. The first volume reviewed subjects like optimal scaling, neural networks, factor analysis, partial least squares, discriminant analysis, canonical analysis, and fuzzy modeling.

Uncertainty Modeling for Data Mining: A Label Semantics Approach

Posted By: AvaxGenius
Uncertainty Modeling for Data Mining: A Label Semantics Approach

Uncertainty Modeling for Data Mining: A Label Semantics Approach by Zengchang Qin
English | PDF | 2014 | 303 Pages | ISBN : 3642412505 | 10.17 MB

Machine learning and data mining are inseparably connected with uncertainty. The observable data for learning is usually imprecise, incomplete or noisy. Uncertainty Modeling for Data Mining: A Label Semantics Approach introduces 'label semantics', a fuzzy-logic-based theory for modeling uncertainty. Several new data mining algorithms based on label semantics are proposed and tested on real-world datasets. A prototype interpretation of label semantics and new prototype-based data mining algorithms are also discussed. This book offers a valuable resource for postgraduates, researchers and other professionals in the fields of data mining, fuzzy computing and uncertainty reasoning.

Genetic Programming Theory and Practice XV (Repost)

Posted By: AvaxGenius
Genetic Programming Theory and Practice XV (Repost)

Genetic Programming Theory and Practice XV by Wolfgang Banzhaf
English | PDF,EPUB | 2018 | 199 Pages | ISBN : 3319905112 | 19.73 MB

These contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP. Topics in this volume include: exploiting subprograms in genetic programming, schema frequencies in GP, Accessible AI, GP for Big Data, lexicase selection, symbolic regression techniques, co-evolution of GP and LCS, and applying ecological principles to GP. It also covers several chapters on best practices and lessons learned from hands-on experience. Readers will discover large-scale, real-world applications of GP to a variety of problem domains via in-depth presentations of the latest and most significant results.

Modeling and Control of Uncertain Nonlinear Systems with Fuzzy Equations and Z-Number

Posted By: roxul
Modeling and Control of Uncertain Nonlinear Systems with Fuzzy Equations and Z-Number

Wen Yu, "Modeling and Control of Uncertain Nonlinear Systems with Fuzzy Equations and Z-Number "
English | ISBN: 111949155X | 2019 | 208 pages | PDF | 5 MB

Intelligent Control: A Hybrid Approach Based on Fuzzy Logic, Neural Networks and Genetic Algorithms

Posted By: AvaxGenius
Intelligent Control: A Hybrid Approach Based on Fuzzy Logic, Neural Networks and Genetic Algorithms

Intelligent Control: A Hybrid Approach Based on Fuzzy Logic, Neural Networks and Genetic Algorithms by Nazmul Siddique
English | EPUB | 2014 | 292 Pages | ISBN : 3319021346 | 4.28 MB

Intelligent Control considers non-traditional modelling and control approaches to nonlinear systems. Fuzzy logic, neural networks and evolutionary computing techniques are the main tools used. The book presents a modular switching fuzzy logic controller where a PD-type fuzzy controller is executed first followed by a PI-type fuzzy controller thus improving the performance of the controller compared with a PID-type fuzzy controller. The advantage of the switching-type fuzzy controller is that it uses one rule-base thus minimises the rule-base during execution.

Soft Computing Applications (Repost)

Posted By: AvaxGenius
Soft Computing Applications (Repost)

Soft Computing Applications By Kanad Ray
English | PDF,EPUB | 2018 | 170 Pages | ISBN : 9811080488 | 9.48 MB

This book provides a reference guide for researchers, scientists and industrialists working in the area of soft computing, and highlights the latest advances in and applications of soft computing techniques in multidisciplinary areas. Gathering papers presented at the International Conference on Soft Computing: Theories and Applications (SoCTA 2016), which was held in Jaipur, Rajasthan, India, on December 28–30, 2016, it focuses on applying soft computing to solve real-life problems arising in various domains, from medical and healthcare to supply chain management, image processing and cryptanalysis.

Fuzzy Logic Augmentation of Nature-Inspired Optimization Metaheuristics: Theory and Applications

Posted By: DZ123
Fuzzy Logic Augmentation of Nature-Inspired Optimization Metaheuristics: Theory and Applications

Oscar Castillo, Patricia Melin, "Fuzzy Logic Augmentation of Nature-Inspired Optimization Metaheuristics: Theory and Applications"
English | 2014 | ISBN: 3319109596 | PDF | pages: 193 | 7.5 mb