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E-raamat: Fuzzy Logic-based Programming [World Scientific e-raamat]

(Nicesoft Corporation, Usa)
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Fuzzy Logic-based ProgrammingSuurem pilt
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Raamatu kodulehekülg: http://www.worldscientific.com/worldscibooks/10.1142/3413#t=toc
The number of fuzzy logic applications is very large. This book tells the reader how to use fuzzy logic to find solutions in areas such as control systems, factory automation, product quality control, product inspection, instrumentation, pattern recognition, image analysis, database query processing, decision support, data mining, time series (waveform) databases, geographic information systems, and image databases. Those who have applications in these areas will find the book invaluable.The author was the first student to write a PhD fuzzy logic thesis under Professor Lotfi A Zadeh (the inventor of fuzzy logic), in 1967 at the University of California, Berkeley. In 1993, he designed and introduced the NICEL language for writing fuzzy programs that enclose if-then rules. NICEL is powerful and easy to use. The reader will find in the book that many algorithms for real world applications can be conveniently represented in NICEL.
Preface ix(2)
Acknowledgments xi
Chapter 1 Introduction
1(22)
Basic Ideas of Fuzzy Logic
2(2)
Fuzzy Rules
4(5)
A Tutorial Example of A Fuzzy Program
9(12)
References
21(2)
Chapter 2 The Fuzzy Rule-based Language NICEL(TM)
23(22)
Lexical Elements
23(3)
Language Structure
26(13)
An Example of A Fuzzy Program
39(4)
References
43(2)
Chapter 3 Data Acquisition
45(16)
Transducers
45(1)
Signal Conditioning
46(1)
Data Acquisition Boards
47(3)
Analysis and Interface Hardware
50(1)
LabWindows/CVI
51(8)
References
59(2)
Chapter 4 Control Systems
61(26)
The Inverted Pendulum Problem
62(3)
The Hitachi Ping-Pong Ball Controller
65(1)
A Comparison of Fuzzy Logic vs PID Control
66(2)
Process Control and Product Quality Control
68(5)
The Truck Docking Problem
73(6)
The Evasive Maneuvers Problem
79(4)
References
83(4)
Chapter 5 Pattern Recognition
87(26)
Determination of Air Pollution Categories
91(5)
Digital Signal Processing
96(5)
Speech Recognition
101(4)
Machine Tool Breakage Detection
105(3)
Classification of Underwater Acoustic Contacts
108(1)
References
109(4)
Chapter 6 Image Analysis
113(20)
Imaging Software Toolkits
113(3)
Edge Detection
116(2)
Image Segmentation
118(3)
Image Interpretation
121(3)
Product Inspection by Machine Vision
124(4)
References
128(5)
Chapter 7 Soft Query Processing
133(26)
Soft Attributes in Data Modeling
133(9)
Soft Query Representation
142(3)
Complex Queries in Decision Support
145(5)
Geographic Information System (GIS)
150(1)
Retrieval Methods in Image Databases
151(2)
References
153(6)
Chapter 8 Data Mining
159(18)
Defining Data Mining
160(1)
Discovering Relationships Among Variables
161(6)
Discovering Rules for Characterizing Classes
167(5)
Discovering Data Association
172(3)
References
175(2)
Chapter 9 Advanced Topics
177(20)
The Sugeno-Takagi-Kang Model
177(5)
Extensions of the NICEL Language
182(1)
Machine Training of Fuzzy Rules
183(13)
References
196(1)
Appendix A Tranducers and Sensors Vendors 197(8)
Appendix B Data Acquisition Boards Vendors 205(4)
Appendix C Functions in LabWindows/CVI 209(4)
Appendix D Functions in UniversalLibrary 213(2)
Appendix E Functions in UniversalTools 215(2)
Appendix F Some Applications in Control 217(6)
Appendix G Some Applications in Pattern Recognition 223(6)
Appendix H LEADTOOLS DLL Functions 229(4)
Appendix I GLIDE 2.1 Library Functions 233(2)
Index 235


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