Expert systems the technology of knowledge management and decision making for the 21st century
This six-volume set presents cutting-edge advances and applications of expert systems. Because expert systems combine the expertise of engineers, computer scientists, and computer programmers, each group will benefit from buying this important reference work. An ""expert system""...
| Otros Autores: | |
|---|---|
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
San Diego :
Academic Press
c2002.
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| Edición: | [First edition] |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009755233606719 |
Tabla de Contenidos:
- 9780080531458_001_WEB; Cover; Copyright; Contents; Preface; Contributors; 01; 02; 03; 04; 05; 06; 07; 08; 9780080531458_002_WEB; Cover; 02aexp-fmv2.pdf; Copyright; Contents; Contributors; 09; 10; 11; 12; 13; 14; 15; 16; 9780080531458_003_WEB; Front Cover; Expert Systems; Copyright Page; Contents; Contributors; Chapter 17. Genetic Image Interpretation; I. Introduction; II. Preliminaries; III. Genetic Algorithms in Computer Vision; IV. Genetic Algorithm-Based Image Interpretation Method; V. Image Interpretation of Artificially Generated Test Examples
- VI. Genetic Interpretation of Magnetic Resonance Brain ImagesVII. Advantages of Genetic Algorithm-Based Image Interpretation; References; Chapter 18. Automated Visual Assembly Inspection; I. Introduction; II. The Inspection Algorithm; III. Automated Camera and Light Placement; IV. Results; V. Conclusions; References; Chapter 19. Multiresolution Invariant Image Recognition; I. Image Analysis and New Developments in Multimedia Systems; II. Theoretical Aspects of Multiresolution and Cumulant Analysis; III. Proposed Invariant Image Representations
- IV. Multiresolution Neural Network Classifiers of Invariant RepresentationsV. Efficient Multiresolution Texture Classification Scheme; VI. Conclusions; References; Chapter 20. Image Processing for Automatic Roads Determination; I. Introduction; II. Road Generation; III. Road Finding as a Map Estimation Problem; IV. High-Level Processing Combining Road Candidates; V. Experimental Road Results; VI. Conclusions; References; Chapter 21. Automated Visual Inspection Systems; I. Introduction; II. Components of an Automated Visual Inspection System; III. Image Segmentation; IV. Measurements
- V. Image TransformationsVI. Pattern Recognition; VII. Three-Dimensional Images; VIII. Applications; IX. Examples of Automated Visual Inspection Systems; X. Conclusions; References; Chapter 22. Visual Programming Technology in Expert Systems Development; I. Introduction; II. Visual Knowledge Representation; III. Task-Specific Visual Representation; IV. Generic Iconic Visual Programming; V. Conclusion; References; Chapter 23. CAD-Based Vision Systems in Pattern Matching Process; I. Introduction; II. Integrated Vision Systems in Manufacturing Processes; III. Computer Models
- IV. CAD-Based Vision System DesignV. Intelligent Techniques for CAD-Based Vision Systems; VI. Applications; VII. Conclusion; References; Chapter 24. Cellular Automata Architectures for Pattern Recognition; I. Introduction; II. Cellular Automata and Pattern Classification; III. Hybrid Cellular Automaton-Neural Network Classifier; IV. Cellular Automaton-Based, Nearest Neighbor Pattern Classifier; V. Very Large Scale Integration Implementation of Cellular Automata Architectures; VI. Conclusions; References; Chapter 25. Machine Intelligent System Techniques for Automatic Harvest Systems
- I. Introduction
