Fuzzy Logic Augmentation Of Neural And Optimization Algorithms Theoretical Aspects And Real Applications

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Fuzzy Logic Augmentation Of Neural And Optimization Algorithms Theoretical Aspects And Real Applications
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Author : Oscar Castillo
language : en
Publisher: Springer
Release Date : 2018-01-10
Fuzzy Logic Augmentation Of Neural And Optimization Algorithms Theoretical Aspects And Real Applications written by Oscar Castillo and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-10 with Technology & Engineering categories.
This book comprises papers on diverse aspects of fuzzy logic, neural networks, and nature-inspired optimization meta-heuristics and their application in various areas such as intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems. The book is organized into seven main parts, each with a collection of papers on a similar subject. The first part presents new concepts and algorithms based on type-2 fuzzy logic for dynamic parameter adaptation in meta-heuristics. The second part discusses network theory and applications, and includes papers describing applications of neural networks in diverse areas, such as time series prediction and pattern recognition. The third part addresses the theory and practice of meta-heuristics in different areas of application, while the fourth part describes diverse fuzzy logic applications in the control area, which can be considered as intelligent controllers. The next two parts explore applications in areas, such as time series prediction, and pattern recognition and new optimization and evolutionary algorithms and their applications respectively. Lastly, the seventh part addresses the design and application of different hybrid intelligent systems.
Intuitionistic And Type 2 Fuzzy Logic Enhancements In Neural And Optimization Algorithms Theory And Applications
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Author : Oscar Castillo
language : en
Publisher: Springer Nature
Release Date : 2020-02-27
Intuitionistic And Type 2 Fuzzy Logic Enhancements In Neural And Optimization Algorithms Theory And Applications written by Oscar Castillo and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-27 with Technology & Engineering categories.
This book describes the latest advances in fuzzy logic, neural networks, and optimization algorithms, as well as their hybrid intelligent combinations, and their applications in the areas such as intelligent control, robotics, pattern recognition, medical diagnosis, time series prediction, and optimization. The topic is highly relevant as most current intelligent systems and devices use some form of intelligent feature to enhance their performance. The book also presents new and advanced models and algorithms of type-2 fuzzy logic and intuitionistic fuzzy systems, which are of great interest to researchers in these areas. Further, it proposes novel, nature-inspired optimization algorithms and innovative neural models. Featuring contributions on theoretical aspects as well as applications, the book appeals to a wide audience.
Fuzzy Techniques Theory And Applications
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Author : Ralph Baker Kearfott
language : en
Publisher: Springer
Release Date : 2019-06-10
Fuzzy Techniques Theory And Applications written by Ralph Baker Kearfott and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-10 with Computers categories.
This book describes the latest findings related to fuzzy techniques, discussing applications in control, economics, education, humor studies, industrial engineering, linguistics, management, marketing, medicine and public health, military engineering, robotics, ship design, sports, transportation, and many other areas. It also presents recent fuzzy-related algorithms and theoretical results that can be used in other application areas. Featuring selected papers from the Joint World Congress of the International Fuzzy Systems Association (IFSA) and the Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) IFSA-NAFIPS’2019, held in Lafayette, Louisiana, USA, on June 18–21, 2019, the book is of interest to practitioners wanting to use fuzzy techniques to process imprecise expert knowledge. It is also a valuable resource for researchers wishing to extend the ideas from these papers to new application areas, for graduate students and for anyone else interested in problems involving fuzziness and uncertainty.
Fuzzy Logic Hybrid Extensions Of Neural And Optimization Algorithms Theory And Applications
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Author : Oscar Castillo
language : en
Publisher: Springer Nature
Release Date : 2021-03-24
Fuzzy Logic Hybrid Extensions Of Neural And Optimization Algorithms Theory And Applications written by Oscar Castillo and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-24 with Technology & Engineering categories.
We describe in this book, recent developments on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, and their application in areas such as, intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems. The book contains a collection of papers focused on hybrid intelligent systems based on soft computing. There are some papers with the main theme of type-1 and type-2 fuzzy logic, which basically consists of papers that propose new concepts and algorithms based on type-1 and type-2 fuzzy logic and their applications. There also some papers that presents theory and practice of meta-heuristics in different areas of application. Another group of papers describe diverse applications of fuzzy logic, neural networks and hybrid intelligent systems in medical applications. There are also some papers that present theory and practice of neural networks in different areas of application. In addition, there are papers that present theory and practice of optimization and evolutionary algorithms in different areas of application. Finally, there are some papers describing applications of fuzzy logic, neural networks and meta-heuristics in pattern recognition problems.
Advanced Control And Optimization Paradigms For Wind Energy Systems
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Author : Radu-Emil Precup
language : en
Publisher: Springer
Release Date : 2019-02-07
Advanced Control And Optimization Paradigms For Wind Energy Systems written by Radu-Emil Precup and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-07 with Technology & Engineering categories.
This book presents advanced studies on the conversion efficiency, mechanical reliability, and the quality of power related to wind energy systems. The main concern regarding such systems is reconciling the highly intermittent nature of the primary source (wind speed) with the demand for high-quality electrical energy and system stability. This means that wind energy conversion within the standard parameters imposed by the energy market and power industry is unachievable without optimization and control. The book discusses the rapid growth of control and optimization paradigms and applies them to wind energy systems: new controllers, new computational approaches, new applications, new algorithms, and new obstacles.
Hybrid Intelligent Systems In Control Pattern Recognition And Medicine
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Author : Oscar Castillo
language : en
Publisher: Springer Nature
Release Date : 2019-11-23
Hybrid Intelligent Systems In Control Pattern Recognition And Medicine written by Oscar Castillo and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-23 with Technology & Engineering categories.
This book describes the latest advances in fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, and their applications in areas such as: intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction, and optimization of complex problems. The book is divided into five main parts. The first part proposes new concepts and algorithms based on type-1 and type-2 fuzzy logic and their applications; the second explores new concepts and algorithms in neural networks and fuzzy logic applied to recognition. The third part examines the theory and practice of meta-heuristics in various areas of application, while the fourth highlights diverse applications of fuzzy logic, neural networks and hybrid intelligent systems in medical contexts. Finally, the fifth part focuses on applications of fuzzy logic, neural networks and meta-heuristics to robotics problems.
Adaptive Intelligence
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Author : Nitasha Hasteer
language : en
Publisher: Springer Nature
Release Date : 2025-02-27
Adaptive Intelligence written by Nitasha Hasteer and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-27 with Computers categories.
This book comprises the select peer-reviewed proceedings of the 4th International Conference on Information Technology (InCITe-2024). It aims to provide a comprehensive knowledge base encompassing state-of-the-art research and development in adaptive intelligence, decision intelligence, artificial intelligence, deep learning, machine learning, data science, and enabling technologies for IoT, blockchain, and other futuristic technologies. It covers various topics that span cutting-edge, collaborative technologies and areas of computation. The content would serve as a rich knowledge repository on information & communication technologies, neural networks, fuzzy systems, natural language processing, data mining & warehousing, big data analytics, cloud computing, social networks, and intelligence, decision-making, and modeling, information systems, IT architectures, and security related aspects. This book provides a valuable resource for those in academia and industry.
Advances In Data Science Cyber Security And It Applications
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Author : Auhood Alfaries
language : en
Publisher: Springer Nature
Release Date : 2019-12-21
Advances In Data Science Cyber Security And It Applications written by Auhood Alfaries and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-21 with Computers categories.
This book constitutes the refereed proceedings of the First International Conference on Intelligent Cloud Computing, ICC 2019, held in Riyadh, Saudi Arabia, in December 2019. The two-volume set presents 53 full papers, which were carefully reviewed and selected from 174 submissions. The papers are organized in topical sections on Cyber Security; Data Science; Information Technology and Applications; Network and IoT.
Hci International 2020 Late Breaking Papers Universal Access And Inclusive Design
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Author : Constantine Stephanidis
language : en
Publisher: Springer Nature
Release Date : 2020-09-24
Hci International 2020 Late Breaking Papers Universal Access And Inclusive Design written by Constantine Stephanidis and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-24 with Computers categories.
This book constitutes late breaking papers from the 22nd International Conference on Human-Computer Interaction, HCII 2020, which was held in July 2020. The conference was planned to take place in Copenhagen, Denmark, but had to change to a virtual conference mode due to the COVID-19 pandemic. From a total of 6326 submissions, a total of 1439 papers and 238 posters have been accepted for publication in the HCII 2020 proceedings before the conference took place. In addition, a total of 333 papers and 144 posters are included in the volumes of the proceedings published after the conference as “Late Breaking Work” (papers and posters). These contributions address the latest research and development efforts in the field and highlight the human aspects of design and use of computing systems. The 59 late breaking papers presented in this volume address the latest research and development efforts in the field and highlight the human aspects of design and use of computing systems.
Recommender Systems
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Author : Monideepa Roy
language : en
Publisher: CRC Press
Release Date : 2023-06-19
Recommender Systems written by Monideepa Roy and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-19 with Computers categories.
Recommender Systems: A Multi-Disciplinary Approach presents a multi-disciplinary approach for the development of recommender systems. It explains different types of pertinent algorithms with their comparative analysis and their role for different applications. This book explains the big data behind recommender systems, the marketing benefits, how to make good decision support systems, the role of machine learning and artificial networks, and the statistical models with two case studies. It shows how to design attack resistant and trust-centric recommender systems for applications dealing with sensitive data. Features of this book: Identifies and describes recommender systems for practical uses Describes how to design, train, and evaluate a recommendation algorithm Explains migration from a recommendation model to a live system with users Describes utilization of the data collected from a recommender system to understand the user preferences Addresses the security aspects and ways to deal with possible attacks to build a robust system This book is aimed at researchers and graduate students in computer science, electronics and communication engineering, mathematical science, and data science.