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Titlebook: Nature-Inspired Design of Hybrid Intelligent Systems; Patricia Melin,Oscar Castillo,Janusz Kacprzyk Book 2017 Springer International Publi

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發(fā)表于 2025-3-21 17:35:39 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Nature-Inspired Design of Hybrid Intelligent Systems
編輯Patricia Melin,Oscar Castillo,Janusz Kacprzyk
視頻videohttp://file.papertrans.cn/663/662073/662073.mp4
概述Presents applications in a wide range of areas such as intelligent control and robotics, pattern recognition, time series prediction, and optimization of complex problems.Includes papers on diverse as
叢書(shū)名稱Studies in Computational Intelligence
圖書(shū)封面Titlebook: Nature-Inspired Design of Hybrid Intelligent Systems;  Patricia Melin,Oscar Castillo,Janusz Kacprzyk Book 2017 Springer International Publi
描述This book highlights recent advances in the design of hybrid intelligent systems based on nature-inspired optimization and their application in areas such as intelligent control and robotics, pattern recognition, time series prediction, and optimization of complex problems. The book is divided into seven main parts, the first of which addresses theoretical aspects of and new concepts and algorithms based on type-2 and intuitionistic fuzzy logic systems. The second part focuses on neural network theory, and explores the applications of neural networks in diverse areas, such as time series prediction and pattern recognition. The book’s third part presents enhancements to meta-heuristics based on fuzzy logic techniques and describes new nature-inspired optimization algorithms that employ fuzzy dynamic adaptation of parameters, while the fourth part presents diverse applications of nature-inspired optimization algorithms. In turn, the fifth part investigates applications of fuzzy logic indiverse areas, such as time series prediction and pattern recognition. The sixth part examines new optimization algorithms and their applications. Lastly, the seventh part is dedicated to the design an
出版日期Book 2017
關(guān)鍵詞Computational Intelligence; Nature-Inspired Optimization; Meta-Heuristics; Pattern Recognition; Time Ser
版次1
doihttps://doi.org/10.1007/978-3-319-47054-2
isbn_softcover978-3-319-83650-8
isbn_ebook978-3-319-47054-2Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer International Publishing AG 2017
The information of publication is updating

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https://doi.org/10.1007/978-3-319-47054-2Computational Intelligence; Nature-Inspired Optimization; Meta-Heuristics; Pattern Recognition; Time Ser
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Choquet Integral and Interval Type-2 Fuzzy Choquet Integral for Edge Detectionnterval type-2 Choquet integral is proposed. The aggregation operator is used as a method to integrate the four gradients of the edge detector. Simulation results with real images and synthetic images are presented and the results show that the interval type-2 Choquet integral is able to improve the detected edge.
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A Gravitational Search Algorithm Using Type-2 Fuzzy Logic for Parameter Adaptationarameter and provide a different gravitation and acceleration to each agent in order to improve its performance. We test this approach with benchmark mathematical functions. Simulation results show the advantage of the proposed approach.
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A New Method Based on Modular Neural Network for Arterial Hypertension Diagnosiss of a modular neural network and its response with average integration. The proposed approach consists on applying these methods to find the best architecture of the modular neural network and the lowest prediction error. Simulations results show that the modular network produces a good diagnostic of the blood pressure of a patient.
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A Competitive Modular Neural Network for Long-Term Time Series Forecastingthe modules are obtained from clustering the training data with a competitive layer. And each module consists of a single hidden layer nonlinear autoregressive neural network. This MNN architecture can be used for short-term and long-term time series forecasting.
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