Intelligent Systems and Interfaces

Front Cover
Horia-Nicolai Teodorescu, Daniel Mlynek, Abraham Kandel, Hans-Jürgen Zimmermann
Springer Science & Business Media, Feb 29, 2000 - Computers - 452 pages
The field of "intelligent interfaces and systems" has seen a fast growth last decade. An impressive number of papers, conference tutorials, and volumes were devoted to the topic. Ten years ago, intelligent systems constituted a rather exotic topic and many were skeptic that such systems amount to more than a nice name. Nowadays, intelligent systems represent a powerful tool in many applications, in all industrial fields. Their development evolved on both the horizontal dimension, with a constantly increasing number of applications, and on the vertical dimension, by including more capabilities going from sensoric to neurofuzzy systems, intelligent agents, speech and image understanding, and decision making in complex environments. The domain constituted by the intelligent systems is now too large to be covered in a single volume. Consequently, the Editors considered a balance between several selected sub-fields, to insure the unity of the volume, yet allowing a large enough horizon and a consistent understanding of the entire field, including real-life applications. The volume represents a comprehensive coverage of the field, including fundamental aspects, software-, sensors-, and hardware-related issues. Moreover, the contributors to this volume offer, beyond a systematic overview of intelligent interfaces and systems, deep, practical knowledge in building and using intelligent systems in various applications. A special emphasis is on specific aspects and requirements in applications. In addition, the second Editor proposes two chapters addressing the management of projects dealing with intelligent systems.
 

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Contents

A tutoring based approach to the development
3
Architecture of the disciple learning agent shell
16
References
29
An objectoriented framework for building
31
Bond middleware
40
Bond agents
46
Control and autonomous operation of agents
53
Summary of results and ongoing research
61
The fuzzy approach
246
Conclusions
258
Progressive learning
269
Color selection application
277
Basic definitions and notation
283
Algorithms for graph matching
293
References
300
principles
307

Demining application
82
References
88
Static Systems
95
Dynamic systems
109
Codesign and the need for a change in the engineering
121
Fuzzy data mining
131
Rule extraction
144
References
151
Feature space filtering system using RBF decomposition
161
Feature space prediction system using pea decomposition
171
Concluding remarks
182
Appendix 4
188
Algebraic fuzzy neuron and the multilayer network architecture
202
Analytic fuzzy RBF neural networks
216
Applications
229
Neurofuzzy approach to natural language
241
Fuzzy logic in fault diagnosis
318
Fault diagnosis via neural networks
335
Conclusions
347
Basic nondestructive testing NOT and evaluation NDE
353
Formulation of the problem as inverse problem
366
Wavelet decomposition and wavelet neural networks
383
Incorporating of a priori information
391
A hybrid network scheme for crack characterization
398
Conclusions
401
Hidden practices of managers
408
Conclusions
418
MBO operating principles
425
Managing hightechnology and engineering without MBO
438
Conclusions
447
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