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Titlebook: Recent Advances on Hybrid Approaches for Designing Intelligent Systems; Oscar Castillo,Patricia Melin,Janusz Kacprzyk Book 2014 Springer I

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书目名称Recent Advances on Hybrid Approaches for Designing Intelligent Systems
编辑Oscar Castillo,Patricia Melin,Janusz Kacprzyk
视频video
概述Recent advances on hybrid intelligent systems using soft computing techniques.Presents various aspects of bio-inspired models, soft computing and hybrid intelligent systems for control, mobile robotic
丛书名称Studies in Computational Intelligence
图书封面Titlebook: Recent Advances on Hybrid Approaches for Designing Intelligent Systems;  Oscar Castillo,Patricia Melin,Janusz Kacprzyk Book 2014 Springer I
描述.This book describes recent advances on hybrid intelligent systems using soft computing techniques for diverse areas of application, such as intelligent control and robotics, pattern recognition, time series prediction and optimization complex problems. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks and bio-inspired optimization algorithms, which can be used to produce powerful hybrid intelligent systems. The book is organized in five main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of type-2 fuzzy logic, which basically consists of papers that propose new models and applications for type-2 fuzzy systems. The second part contains papers with the main theme of bio-inspired optimization algorithms, which are basically papers using nature-inspired techniques to achieve optimization of complex optimization problems in diverse areas of application. The third part contains papers that deal with new models and applications of neural networks in real world problems. The fourth part contains papers with the theme of intelligent optimization methods, whi
出版日期Book 2014
关键词Bio-inspired Models; Computational Intelligence; Designing Intelligent Systems; Hybrid Approaches; Intel
版次1
doihttps://doi.org/10.1007/978-3-319-05170-3
isbn_softcover978-3-319-38274-6
isbn_ebook978-3-319-05170-3Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer International Publishing Switzerland 2014
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Oscar Castillo,Patricia Melin,Janusz KacprzykRecent advances on hybrid intelligent systems using soft computing techniques.Presents various aspects of bio-inspired models, soft computing and hybrid intelligent systems for control, mobile robotic
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Designing Type-2 Fuzzy Systems Using the Interval Type-2 Fuzzy C-Means Algorithmmembership matrices for the lower and upper bound of the interval obtained by the IT2FCM algorithm in each data clustering realized by this algorithm, with these elements obtained by IT2FCM algorithm we design the Mamdani, and Sugeno Fuzzy Inference systems for classification of data sets and time series prediction.
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Ensemble Neural Network Optimization Using the Particle Swarm Algorithm with Type-1 and Type-2 Fuzzyy Integration. The time series that is being considered in this work is the Mackey-Glass benchmark time series. Simulation results show that the ensemble approach produces good prediction of the Mackey-Glass time series.
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A Type 2 Fuzzy Neural Network Ensemble to Estimate Time Increased Probability of Seismic Hazard in Ngion of the Baja California Peninsula. Three algorithms are used with the ensemble: data analysis, M8 and CN. Seismic data coordinates are used in probabilistic fuzzy sets that are processed in the three fuzzy neural networks that integrate the ensemble to generate an output of a probabilistic set of predictions.
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