Applications of Artificial Intelligence in Engineering VIGeorge Rzevski, R.A. Adey This book contains papers presented at the sixth International Conference on Application of Artificial Intelligence in Engineering held in Oxford, UK in was held in Southampton, UK July 1991. The first conference in this series the second in Cambridge, Massachusetts, USA in 1987, the third in 1986, 1989 in Palo Alto, California, USA in 1988, the fourth in Cambridge, UK in and the fifth in Boston, Massachusetts, USA in 1990. The conference series has now established itself as the unique forum for the presentation of the latest research, development and application of artificial intelligence (AI) in all fields of engineering. Consequently, books of conference proceedings provide a historical record of the application of AI in engineering design, analysis, simulation, planning, scheduling, monitoring, control, diagnosis, reliability and quality, as well as in robotics and manufacturing systems, from the early beginnings to mature applications of today. Whilst previously the field was dominated by knowledge-based systems, in this latest volume, for the first time, a significant proportion of papers cover the paradigms of neural networks and genetic algorithms. Learning and self organising behaviour of systems based on these paradigms are particularly important in engineering applications. From a large number of submitted proposals over sixty papers have been selected by members of the Advisory Committee who acted as referees. Pa pers have been grouped under the following headings. |
From inside the book
Results 1-5 of 80
Page 8
... parameters may be encoded with any degree of precision using mapped binary arithmetic [ 1 ] . In these ways , many conceptual design problems of practical import can be cast over B ' . From a computational perspective , this class of ...
... parameters may be encoded with any degree of precision using mapped binary arithmetic [ 1 ] . In these ways , many conceptual design problems of practical import can be cast over B ' . From a computational perspective , this class of ...
Page 25
... parameters required by AJITA . The second quarter contains a schematic diagram of the block . The third contains a parts list that is completed when all inputs have been entered . The last quarter is for notes and comments to the user ...
... parameters required by AJITA . The second quarter contains a schematic diagram of the block . The third contains a parts list that is completed when all inputs have been entered . The last quarter is for notes and comments to the user ...
Page 26
... parameters for the input and output ports for block - such as impedance , electrical form , frequency , signal type . This generic form is then filled in by the software as a block pair are characterised by the user . Rules are then ...
... parameters for the input and output ports for block - such as impedance , electrical form , frequency , signal type . This generic form is then filled in by the software as a block pair are characterised by the user . Rules are then ...
Page 47
... Parameters and constraints on design objects must be declared as a de- sign knowledge base in design support systems . This knowledge base is usually organized in hierarchical class definitions , and instances of design objects are ...
... Parameters and constraints on design objects must be declared as a de- sign knowledge base in design support systems . This knowledge base is usually organized in hierarchical class definitions , and instances of design objects are ...
Page 52
... parameters and constraints on design objects in accordance with the way that designers usually think about them . • Design Description Document ( DDD ) is a knowledge base represent- ing the knowledge generated in the course of the ...
... parameters and constraints on design objects in accordance with the way that designers usually think about them . • Design Description Document ( DDD ) is a knowledge base represent- ing the knowledge generated in the course of the ...
Contents
1 | |
17 | |
31 | |
44 | |
59 | |
81 | |
95 | |
An Integrated System for Constructibility 111 | 110 |
A Real Time Interpretation Model | 553 |
A New Method to Obtain the Relation Matrix | 567 |
R Denzer H Hagen G Kira F Koob | 582 |
An Application of Neural | 597 |
Studies in A I Augmented Control Systems using | 611 |
N Dodd | 623 |
Design and Experimentation of a Shell to Develop 633 | 632 |
Coupling Expert Systems on Control Engineering | 653 |
Knowledge Based System for Geometry Features | 125 |
Experience 143 | 142 |
A Kusiak J Wang | 163 |
A Maintainable Configurers Assistant | 179 |
Design of Breakwaters using KnowledgeBased | 199 |
Controlling Database Integrity | 219 |
Intelligent Conceptual Design for Mechanical Systems | 239 |
Design and Implementation of a Prototype Intelligent 257 | 256 |
An Expert System for Ergonomic Workplace | 287 |
Intelligent Support of Flight Experimental 319 | 318 |
User Interfaces | 338 |
A Smart Topology Based | 343 |
Drilling Tool Selection Aid System | 367 |
Rehabilitation | 388 |
An Expert System for | 405 |
Neural Networks in the Colour Industry | 423 |
using Genetic Techniques | 434 |
Process Parameter Origination using a Combination 457 | 456 |
RealTime Means Planning Ahead to Look Back | 477 |
Constraint Reasoning Applied to | 499 |
RAPS A Rulebased Language for Specifying 515 | 514 |
KBS in Marine Collision Avoidance | 529 |
Representation of Knowledge | 683 |
DIPLOMA The Seal of Approval | 701 |
Knowledge Based System for Fault Diagnosis | 723 |
Towards an Automated FMEA Assistant 739 | 738 |
Generic Diagnosis for Mechanical Devices | 753 |
Fault Detection in Digital Filters for | 769 |
The Cooperative Behavior of Multirobot Systems 791 | 790 |
Piecewise StraightLine Correlation Algorithm | 805 |
A Multiple Views Robotic Stereo Method for | 825 |
Representing the Engineering Description | 847 |
Expert System Verification and Validation | 873 |
Computer Aided Validation Expert System | 895 |
Optimal Solutions for Deep and Shallow 921 | 920 |
Interval Algebras and Order of Magnitude | 945 |
An Algorithm for the Automated Generation 963 | 962 |
Experts Interface in a Generator of Process | 981 |
Default Reasoning in DIPSYE System 997 | 996 |
KnowledgeBased Modelling Systems for | 1011 |
Integration of Natural Language in Developing the | 1027 |
Authors Index | 1051 |
Other editions - View all
Applications of Artificial Intelligence in Engineering VI George Rzevski,R.A. Adey No preview available - 1991 |
Applications of Artificial Intelligence in Engineering VI George Rzevski,R.A. Adey No preview available - 2011 |
Common terms and phrases
activity agents allocation ambient field analysis application approach architecture Artificial Intelligence asphalt concrete assignment automated basic circuit complex components concept condition configuration conflict constraints construction cost database decision defined depending described design process diagnosis domain electromagnetic environment evaluation example expert system expertise fault Figure FMEA function genetic algorithms geological geometry global frequency goal heuristic hierarchical implemented incidence matrix inference engine input integrated interaction knowledge based system knowledge engineering knowledge representation knowledge-based logic machining manufacturing matrix mechanism method module neural network node object Object-Oriented Programming operation optimization output parameters pavement performance Petri net planning possible prediction problem procedure Prolog PROLOG III propagation PROSPEX prototype real-time represent representation resource robot rules scheduling simulation solution solving specific stage strategy structure task techniques tool topology user interface values variables welding