Pedrycz - 三民網路書店

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原文書（45）

簡體書（1）

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$800以上（44）

出版日期

2022~2023 （8）

2020~2021 （7）

2018~2019 （3）

2016~2017 （2）

2016年以前（26）

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平裝（15）

精裝（30）

作者

Witold Pedrycz(EDI) （10）

Witold Pedrycz (EDT)/ Shyi-ming Chen (EDT) （5）

Pedrycz （4）

Witold Pedrycz （2）

(加)派垂馳(Pedrycz、W) （1）

出版社/品牌

Springer Nature （11）

Springer Verlag （11）

Springer-Verlag New York Inc （11）

John Wiley & Sons Inc （4）

Springer Nature B.V. （2）

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共46筆商品，2/3頁

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21.

基於知識的聚類-從數據到信息粒（簡體書）

作者：(加)派垂馳(Pedrycz; W) 出版社：北京師範大學出版社 出版日：2008/09/01 裝訂：平裝

基於知識的聚類展示的是如何設計一個導航平臺，以使信息探尋者能理解和較好的應用種類繁多的數據集。比模糊聚類走得更遠，作者展示了基於知識的聚類這一有前景的新範例是如何揭示更有意義的數據結構，并使社會更好地處理日益增長的數據和信息流。通過這《基於知識的聚類—從數據到信息粒》，讀著能理解基於知識聚類的基礎和與其相關聯的算法，學會將他們自己的知識應用到系統建模和設計中去。《基於知識的聚類—從數據到信息粒

定價：234 元，優惠價：87 204

海外經銷商無庫存，到貨日平均30天至45天

22.

Deep Learning: Algorithms and Applications

作者：Pedrycz; Witold; Chen; Shyi-Ming 出版社：Springer Nature Switzerland AG 出版日：2019/11/04 裝訂：精裝

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23.

Human-Centric Information Processing Through Granular Modelling

作者：Andrzej Bargiela (EDT); Witold Pedrycz (EDT) 出版社：Springer Verlag 出版日：2009/03/01 裝訂：精裝

The idea of Human-Centric Information Processing was prompted by the pioneering work of Zadeh Towards a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic (1

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24.

Fuzzy Logic and Applications

作者：Anna Maria Fanelli (EDT); Witold Pedrycz (EDT) 出版社：Springer Verlag 出版日：2011/09/05 裝訂：平裝

This book constitutes the refereed proceedings of the 9th International Workshop on Fuzzy Logic and Applications, WILF 2011 held in Trani, Italy in August 2011.The 34 revised full papers presented we

定價：3240 元，優惠價：1 3240

無庫存，下單後進貨(到貨天數約30-45天)

25.

Springer Handbook of Computational Intelligence

作者：Janusz Kacprzyk (EDT); Witold Pedrycz (EDT) 出版社：Springer Verlag 出版日：2015/05/18 裝訂：精裝

The Springer Handbook for Computational Intelligence is the first book covering the basics, the state-of-the-art and important applications of the dynamic and rapidly expanding discipline of computati

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26.

Computational Intelligence for Pattern Recognition

作者：Witold Pedrycz (EDT); Shyi-ming Chen (EDT) 出版社：Springer-Verlag New York Inc 出版日：2018/05/15 裝訂：精裝

The book presents a comprehensive and up-to-date review of fuzzy pattern recognition. It carefully discusses a range of methodological and algorithmic issues, as well as implementations and case studi

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27.

Data Science and Big Data ― An Environment of Computational Intelligence

作者：Witold Pedrycz (EDT); Shyi-ming Chen (EDT) 出版社：Springer-Verlag New York Inc 出版日：2017/03/29 裝訂：精裝

This book presents a comprehensive and up-to-date treatise of a range of methodological and algorithmic issues. It also discusses implementations and case studies, identifies the best design practices

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28.

Human-centric Decision - Making Models for Social Sciences

作者：Peijun Guo (EDT); Witold Pedrycz (EDT) 出版社：Springer-Verlag New York Inc 出版日：2013/08/31 裝訂：精裝

The volume delivers a wealth of effective methods to deal with various types of uncertainty inherently existing in human-centric decision problems. It elaborates on comprehensive decision frameworks

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29.

Time Series Analysis, Modeling and Applications ― A Computational Intelligence Perspective

作者：Witold Pedrycz (EDT); Shyi-ming Chen (EDT) 出版社：Springer Verlag 出版日：2012/11/08 裝訂：精裝

Temporal and spatiotemporal data form an inherent fabric of the society as we are faced with streams of data coming from numerous sensors, data feeds, recordings associated with numerous areas of appl

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30.

ECG Signal Processing, Classification and Interpretation ― A Comprehensive Framework of Computational Intelligence

作者：Adam Gacek (EDT); Witold Pedrycz (EDT) 出版社：Springer Verlag 出版日：2011/09/16 裝訂：精裝

The book shows how the various paradigms of computational intelligence, employed either singly or in combination, can produce an effective structure for obtaining often vital information from ECG sign

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31.

Social Networks ― A Framework of Computational Intelligence

作者：Witold Pedrycz (EDT); Shyi-ming Chen (EDT) 出版社：Springer-Verlag New York Inc 出版日：2013/12/19 裝訂：精裝

This volume provides the audience with an updated, in-depth and highly coherent material on the conceptually appealing and practically sound information technology of Computational Intelligence applie

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32.

Information Granularity, Big Data, and Computational Intelligence

作者：Witold Pedrycz (EDT); Shyi-ming Chen (EDT) 出版社：Springer-Verlag New York Inc 出版日：2014/07/29 裝訂：精裝

The recent pursuits emerging in the realm of big data processing, interpretation, collection and organization have emerged in numerous sectors including business, industry and government organizations

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33.

Data Analysis and Pattern Recognition in Multiple Databases

作者：Animesh Adhikari; Jhimli Adhikari; Witold Pedrycz 出版社：Springer Verlag 出版日：2013/12/18 裝訂：精裝

Pattern recognition in data is a well known classical problem that falls under the ambit of data analysis. As we need to handle different data, the nature of patterns, their recognition and the types

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34.

Bio-Inspired Hybrid Intelligent Systems For Image Analysis and Pattern Recognition

作者：Patricia Melin (EDT); Janusz Kacprzyk (EDT); Witold Pedrycz (EDT) 出版社：Springer Verlag 出版日：2009/11/01 裝訂：精裝

Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition comprises papers on diverse aspects of bio-inspired models, soft computing and hybrid intelligent systems.The article

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35.

Engineering Evolutionary Intelligent Systems

作者：Ajith Abraham (EDT); Crina Grosan (EDT); Witold Pedrycz (EDT) 出版社：Springer-Verlag New York Inc 出版日：2008/03/05 裝訂：精裝

This edited volume deals with the theoretical and methodological aspects, as well as various evolutionary algorithm applications to many real world problems originating from science, technology, busin

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36.

Computational Intelligence and Quantitative Software Engineering

作者：Witold Pedrycz (EDT); Giancarlo Succi (EDT); Alberto Sillitti (EDT) 出版社：Springer-Verlag New York Inc 出版日：2016/01/22 裝訂：精裝

In a down-to-the earth manner, the volume lucidly presents how the fundamental concepts, methodology, and algorithms of Computational Intelligence are efficiently exploited in Software Engineering and

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37.

Soft Computing for Intelligent Control and Mobile Robotics

作者：Oscar Castillo (EDT); Janusz Kacprzyk (EDT); Witold Pedrycz (EDT) 出版社：Springer-Verlag New York Inc 出版日：2010/10/10 裝訂：精裝

This book describes in a detailed fashion the application of hybrid intelligent systems using soft computing techniques for intelligent control and mobile robotics. Soft Computing (SC) consists of sev

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38.

Autonomic Communication

作者：Athanasios V. Vasilakos (EDT); Manish Parashar (EDT); Stamatis Karnouskos (EDT); Witold Pedrycz (EDT) 出版社：Springer-Verlag New York Inc 出版日：2009/08/25 裝訂：精裝

New paradigms for communication/networking systems are needed in order to tackle the emerging issues such as heterogeneity, complexity and management of evolvable infrastructures. In order to realize

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39.

Foundations of Computational Intelligence ─ Learning and Approximation

作者：Aboul Ella Hassanien (EDT); Ajith Abraham (EDT); Athanasios Vasilakos (EDT); Witold Pedrycz (EDT) 出版社：Springer Verlag 出版日：2009/05/05 裝訂：精裝

Recent years have seen numerous applications across a variety of fields using various techniques of Computational Intelligence. This book, one of a series on the foundations of Computational Intellige

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40.

Data Mining ― A Knowledge Discovery Approach

作者：Krzysztof J. Cios; Witold Pedrycz; Roman W. Swiniarski; Lukasz Andrzej Kurgan 出版社：Springer-Verlag New York Inc 出版日：2010/10/29 裝訂：平裝

This comprehensive textbook on data mining details the unique steps of the knowledge discovery process - an industry standard that prescribes the sequence in which projects should be performed, from d

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縮小範圍

三民網路書店 / 搜尋結果

搜尋條件

基於知識的聚類-從數據到信息粒（簡體書）

Deep Learning: Algorithms and Applications

Human-Centric Information Processing Through Granular Modelling

Fuzzy Logic and Applications

Springer Handbook of Computational Intelligence

Computational Intelligence for Pattern Recognition

Data Science and Big Data ― An Environment of Computational Intelligence

Human-centric Decision - Making Models for Social Sciences

Time Series Analysis, Modeling and Applications ― A Computational Intelligence Perspective

ECG Signal Processing, Classification and Interpretation ― A Comprehensive Framework of Computational Intelligence

Social Networks ― A Framework of Computational Intelligence

Information Granularity, Big Data, and Computational Intelligence

Data Analysis and Pattern Recognition in Multiple Databases

Bio-Inspired Hybrid Intelligent Systems For Image Analysis and Pattern Recognition

Engineering Evolutionary Intelligent Systems

Computational Intelligence and Quantitative Software Engineering

Soft Computing for Intelligent Control and Mobile Robotics

Autonomic Communication

Foundations of Computational Intelligence ─ Learning and Approximation

Data Mining ― A Knowledge Discovery Approach