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Titlebook: New Horizons for Fuzzy Logic, Neural Networks and Metaheuristics; Oscar Castillo,Patricia Melin Book 2024 The Editor(s) (if applicable) an

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發(fā)表于 2025-3-21 16:39:41 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱New Horizons for Fuzzy Logic, Neural Networks and Metaheuristics
編輯Oscar Castillo,Patricia Melin
視頻videohttp://file.papertrans.cn/666/665335/665335.mp4
概述Outlines new horizons on the theoretical developments of fuzzy logic, neural networks and optimization algorithms.Presents applications in areas such as intelligent control and robotics, pattern recog
叢書名稱Studies in Computational Intelligence
圖書封面Titlebook: New Horizons for Fuzzy Logic, Neural Networks and Metaheuristics;  Oscar Castillo,Patricia Melin Book 2024 The Editor(s) (if applicable) an
描述.This book contains a collection of papers focused on hybrid intelligent systems based on soft computing techniques. In this book, new horizons on the theoretical developments of fuzzy logic, neural networks and optimization algorithms are envisioned. In addition, the abovementioned methods are discussed in application areas such as control and robotics, pattern recognition, medical diagnosis, decision-making, prediction and optimization of complex problems. There are a group of papers with the main theme of type-1, type-2 and type-3 fuzzy systems, which basically consists of papers that propose new concepts and algorithms based on type-1, type-2 and type-3 fuzzy logic and their applications. There is also a group of papers that offer theoretical concepts and applications of meta-heuristics in different areas. Another group of papers outlines diverse applications of hybrid intelligent systems in real problems. There are also a group papers that present theory and practice of neural networks in different applications. Finally, there are papers that offer theory and practice of optimization and evolutionary algorithms in different application areas..
出版日期Book 2024
關(guān)鍵詞Computational Intelligence; Fuzzy Logic; Neural Networks; Optimization Algorithms; Artificial Intelligen
版次1
doihttps://doi.org/10.1007/978-3-031-55684-5
isbn_softcover978-3-031-55686-9
isbn_ebook978-3-031-55684-5Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Type-2 Mamdani Fuzzy System Optimization for a Classification Ensemble with Black Widow Optimizern points, type of function and optimizing the fuzzy rules. The optimization is compared with other optimization algorithms and experiments for the ensemble are done on two classification datasets of medical images.
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Prediction Using a Fuzzy Inference System in the Classification Layer of a Convolutional Neural Netwed fuzzy inference system is implemented for the replacement of the Softmax that is in charge of predicting a percentage which will pass to the classification. Applied to a sample of 3 classes from the ORL database.
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1860-949X reas such as intelligent control and robotics, pattern recog.This book contains a collection of papers focused on hybrid intelligent systems based on soft computing techniques. In this book, new horizons on the theoretical developments of fuzzy logic, neural networks and optimization algorithms are
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Towards Designing Interval Type-3 Fuzzy PID Controllersenhance the abilities of the controller in handling higher degrees of uncertainty in the control process. The architecture of interval type-3 fuzzy PID control is presented and illustrative cases are used to show the potential applicability of the proposal.
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Rafael Burkhalter,Mario Bischof,Edy Portmannitable “quenching” of such processes at given intermediate steps. Since most enzyme reactions proceed in steps with energy barriers which are the primary determinants of how rapidly these reactions occur at biological temperatures, there is great potential interest in the use of subzero temperatures
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