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Titlebook: Innovative Issues in Intelligent Systems; Vassil Sgurev,Ronald R. Yager,Vladimir Jotsov Book 2016 Springer International Publishing Switze

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書(shū)目名稱Innovative Issues in Intelligent Systems
編輯Vassil Sgurev,Ronald R. Yager,Vladimir Jotsov
視頻videohttp://file.papertrans.cn/468/467402/467402.mp4
概述Presents a wide interdisciplinary spectrum of applications of intelligent systems.Recent research of intelligent systems.Written by experts in the field.Includes supplementary material:
叢書(shū)名稱Studies in Computational Intelligence
圖書(shū)封面Titlebook: Innovative Issues in Intelligent Systems; Vassil Sgurev,Ronald R. Yager,Vladimir Jotsov Book 2016 Springer International Publishing Switze
描述.This bookpresents a broad variety of different contemporary IT methods and applications inIntelligent Systems is displayed. Every book chapter represents a detailed,specific, far reaching and original re-search in a respective scientific andpractical field. However, all of the chapters share the common point of strongsimilarity in a sense of being innovative, applicable and mutually compatiblewith each other. In other words, the methods from the different chapters can beviewed as bricks for building the next generation “thinking machines” as wellas for other futuristic logical applications that are rapidly changing ourworld nowadays..
出版日期Book 2016
關(guān)鍵詞Computational Intelligence; Intelligent Systems; Intelligent Systems in Industry; Intelligent Control; S
版次1
doihttps://doi.org/10.1007/978-3-319-27267-2
isbn_softcover978-3-319-80104-9
isbn_ebook978-3-319-27267-2Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer International Publishing Switzerland 2016
The information of publication is updating

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Prediction of the Attention Area in Ambient Intelligence Tasks,n Adaptive Neuro-Fuzzy Inference System (ANFIS) model based scheme, named as prediction of the attention area using ANFIS (PAA_ANFIS), which predicts the human attention area on visual display with ordinary web camera. The PAA_ANFIS model was designed using trial and error based on various experimen
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Learning Intelligent Controls in High Speed Networks: Synergies of Computational Intelligence with ce more than ever existing time-delays with uncertain variations. Their control and, possibly, prevention are subject to extensive research ever since the internet is available. Because of the uncertainties and time-varying phenomena, obtaining the accurate and complete information on the network tr
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Logical Operations and Inference in the Complex s-Logic,c) is extended to complex, summary (.-logic), in which the two logics above are interpreted. For this purpose a constraint (axiom) is added to the structures of the two logics—. and ., which connects heir variables and states. The .-logic received provides a possibility all logic equations to be sol
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Uncertain Switched Fuzzy Systems: A Robust Output Feedback Control Design,punov function methods is solved. Based on employing Parallel Distributed Compensation strategy, the fuzzy output feedback controllers are designed such that the corresponding closed-loop system possesses stability and robustness for all admissible uncertainties. An illustrative example and the resp
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