Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications (Record no. 79061)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 04657nam a22005415i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-319-71008-2 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20220801220910.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 180110s2018 sz | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9783319710082 |
| -- | 978-3-319-71008-2 |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 006.3 |
| 245 10 - TITLE STATEMENT | |
| Title | Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. 2018. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | XI, 546 p. 239 illus., 173 illus. in color. |
| 490 1# - SERIES STATEMENT | |
| Series statement | Studies in Computational Intelligence, |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Remark 2 | Part I: Type-2 Fuzzy Logic in Metaheuristics -- A comparative study of dynamic adaptation of parameters in the GWO algorithm using type-1 and interval type-2 fuzzy logic -- Ensemble Neural Network optimization using a gravitational search algorithm with Interval Type-1 and Type-2 fuzzy parameter adaptation in pattern recognition applications -- Improved method based on type-2 fuzzy logic for the adaptive harmony search algorithm -- Comparison of bio-inspired methods with parameter adaptation through interval type-2 fuzzy logic -- Differential Evolution algorithm with Interval type-2 fuzzy logic for the optimization of the mutation parameter -- Part II: Neural Networks Theory and Applications -- Person recognition with modular deep neural network using the iris biometric measure -- Neuro-evolutionary Neural Network for the Estimation of Melting Point of Ionic Liquids -- A proposal to classify ways of walking patterns using spik-ing neural networks -- Partially-connected Artificial Neural Networks developed by Grammatical Evolution for pattern recognition problems -- Part III: Metaheuristics: Theory and Applications -- Bio-inspired Metaheuristics for Hyper-parameter Tuning of Support Vector Machine Classifiers. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | 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. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Castillo, Oscar. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Melin, Patricia. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Kacprzyk, Janusz. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://doi.org/10.1007/978-3-319-71008-2 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Cham : |
| -- | Springer International Publishing : |
| -- | Imprint: Springer, |
| -- | 2018. |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | c |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
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| -- | rdacarrier |
| 347 ## - | |
| -- | text file |
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| -- | rda |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computational intelligence. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Artificial intelligence. |
| 650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computational Intelligence. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Artificial Intelligence. |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| -- | 1860-9503 ; |
| 912 ## - | |
| -- | ZDB-2-ENG |
| 912 ## - | |
| -- | ZDB-2-SXE |
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