Computationally Intelligent Hybrid Systems: The Fusion of Soft Computing and Hard Computing (IEEE Press Series on Computational Intelligence) 🔍
Ovaska, Seppo J. (editor)
Wiley-IEEE Press [Imprint] John Wiley & Sons, Incorporated, IEEE Press Series on Computational Intelligence, 1, 2004
英语 [en] · PDF · 12.6MB · 2004 · 📘 非小说类图书 · 🚀/lgli/lgrs/nexusstc/zlib · Save
描述
Content:
Chapter 1 Introduction to Fusion of Soft Computing and Hard Computing (pages 5–30): Seppo J. Ovaska
Chapter 2 General Model for Large?Scale Plant Application (pages 35–55): Akimoto Kamiya
Chapter 3 Adaptive Flight Control: Soft Computing with Hard Constraints (pages 61–88): Richard E. Saeks
Chapter 4 Sensorless Control of Switched Reluctance Motors (pages 93–124): Adrian David Cheok
Chapter 5 Estimation of Uncertainty Bounds for Linear and Nonlinear Robust Control (pages 129–164): Gregory D. Buckner
Chapter 6 Indirect On?Line Tool Wear Monitoring (pages 169–198): Bernhard Sick
Chapter 7 Predictive Filtering Methods for Power Systems Applications (pages 203–240): Seppo J. Ovaska
Chapter 8 Intrusion Detection for Computer Security (pages 245–272): Sung?Bae Cho and Sang?Jun Han
Chapter 9 Emotion Generating Method on Human–Computer Interfaces (pages 277–312): Kazuya Mera and Takumi Ichimura
Chapter 10 Introduction to Scientific Data Mining: Direct Kernel Methods and Applications (pages 317–362): Mark J. Embrechts, Boleslaw Szymanski and Karsten Sternickel
Chapter 11 World Wide Web Usage Mining (pages 367–396): Ajith Abraham
Chapter 1 Introduction to Fusion of Soft Computing and Hard Computing (pages 5–30): Seppo J. Ovaska
Chapter 2 General Model for Large?Scale Plant Application (pages 35–55): Akimoto Kamiya
Chapter 3 Adaptive Flight Control: Soft Computing with Hard Constraints (pages 61–88): Richard E. Saeks
Chapter 4 Sensorless Control of Switched Reluctance Motors (pages 93–124): Adrian David Cheok
Chapter 5 Estimation of Uncertainty Bounds for Linear and Nonlinear Robust Control (pages 129–164): Gregory D. Buckner
Chapter 6 Indirect On?Line Tool Wear Monitoring (pages 169–198): Bernhard Sick
Chapter 7 Predictive Filtering Methods for Power Systems Applications (pages 203–240): Seppo J. Ovaska
Chapter 8 Intrusion Detection for Computer Security (pages 245–272): Sung?Bae Cho and Sang?Jun Han
Chapter 9 Emotion Generating Method on Human–Computer Interfaces (pages 277–312): Kazuya Mera and Takumi Ichimura
Chapter 10 Introduction to Scientific Data Mining: Direct Kernel Methods and Applications (pages 317–362): Mark J. Embrechts, Boleslaw Szymanski and Karsten Sternickel
Chapter 11 World Wide Web Usage Mining (pages 367–396): Ajith Abraham
备用文件名
lgrsnf/A:\compressed\10.1002%2F9780471683407.pdf
备用文件名
nexusstc/Computationally Intelligent Hybrid Systems: The Fusion of Soft Computing and Hard Computing/1bc04196200d8ffe3bba3d745cdad136.pdf
备用文件名
zlib/Computers/Computer Science/Seppo J. Ovaska/Computationally Intelligent Hybrid Systems: The Fusion of Soft Computing and Hard Computing_2151142.pdf
备选标题
Untitled
备选作者
Seppo J Ovaska; Institute of Electrical and Electronics Engineers
备选作者
Edited by Seppo J. Ovaska
备选作者
Unknown
备用出版商
Jossey-Bass, Incorporated Publishers
备用出版商
Wiley & Sons, Incorporated, John
备用出版商
IEEE press; Wiley-interscience
备用出版商
WILEY COMPUTING Publisher
备用版本
IEEE series on computational intelligence, Piscataway (N. J.), Hoboken (N. J.), United States, 2005
备用版本
IEEE series on computational intelligence, Hoboken, NJ, New Jersey, 2005
备用版本
IEEE series on computational intelligence, 3, Hoboken, New Jersey, 2012
备用版本
IEEE Press Series on Computational Intelligence Ser, Hoboken, June 2012
备用版本
IEEE series on computational intelligence, Hoboken, NJ, cop. 2005
备用版本
United States, United States of America
备用版本
Hoboken, NJ, United States, 2006
备用版本
November 4, 2004
备用版本
2004 oct 20
元数据中的注释
lg997208
元数据中的注释
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元数据中的注释
Includes bibliographical references and index.
元数据中的注释
Указ.
Библиогр. в конце ст.
Библиогр. в конце ст.
元数据中的注释
РГБ
元数据中的注释
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备用描述
The practical guide to the integration of soft and hard computing for today's engineering applicationsOver the next decade, the fusion of soft and hard computing will play an increasingly important role in the development of intelligent systems for aerospace, electric power generation, and other safety-critical applications. Computationally Intelligent Hybrid Systems is the only book to examine the practical issues involved in the creation of high-performance, cost-effective applications using a synthesis of neural networks, fuzzy systems, and evolutionary computation with traditional computing methods. This uniquely crafted work combines the experience of many internationally recognized experts in the soft and hard computing research worlds to present practicing engineers with the broadest possible array of methodologies for developing innovative and competitive solutions to real-world problems. Each of the chapters illustrates the wide-ranging applicability of the fusion concept in such critical areas as:. Computer security and data mining. Electrical power systems and large-scale plants. Motor drives and tool wear monitoring. User interfaces and the World Wide Web . Aerospace and robust controlThis is an essential guide for practicing engineers, researchers, and R&D managers who wish to create or understand computationally intelligent hybrid systems, as well as an excellent primary source for graduate courses in soft computing, engineering applications of artificial intelligence, and related topics
备用描述
This uniquely crafted work combines the experience of many internationally recognized experts in the soft- and hard-computing research worlds to present practicing engineers with the broadest possible array of methodologies for developing innovative and competitive solutions to real-world problems. Each of the chapters illustrates the wide-ranging applicability of the fusion concept in such critical areas asComputer security and data miningElectrical power systems and large-scale plantsMotor drives and tool wear monitoringUser interfaces and the World Wide WebAerospace and robust control This must-have guide for practicing engineers, researchers, and R & D managers who wish to create or understand computationally intelligent hybrid systems is also an excellent primary source for graduate courses in soft computing, engineering applications of artificial intelligence, and related topics
备用描述
<p>The subtitle, The fusion of soft computing and hard computing, identifies the subclass of the title that is discussed, and also represents a challenge that the anthology addresses: the soft-computing and hard-computing communities are quite separate, but practicing engineers need all available methodologies at hand to develop innovative and competitive solutions to real-world problems. Representatives of both communities, from Asia, the US, and Europe, explore the methodological fusion or integration of approaches in such applications as aerospace, computer security, data mining, electric power systems, robust control, tool wear monitoring, user interfaces, and the World Wide Web. They write for graduate students, practicing engineers, researchers, and research-and-development managers. Annotation ©2004 Book News, Inc., Portland, OR</p>
备用描述
"Each of the chapters illustrates the wide-ranging applicability of the fusion concept in such critical areas as: computer security and data mining, electrical power systems and large-scale plants, motor drives and tool wear monitoring, user interfaces and the World Wide Web, aerospace and robust control."--Publisher's website
备用描述
"This is an essential guide for practicing engineers, researchers, and R&D managers who wish to create or understand computationally intelligent hybrid systems, as well as an excellent primary source for graduate courses in soft computing engineering applications of artificial intelligence and related topics."--BOOK JACKET.
开源日期
2013-08-01
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