Applications of Artificial Intelligence in Engineering VIGeorge Rzevski, R. A. Adey |
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Page 154
... feature ) , and achieve- value ( the goal to achieve a given value for a given component feature ) . There are thus three kinds of conflicts at this level : conflicts between achieve - value goals ( inconsistent desired constraints on a ...
... feature ) , and achieve- value ( the goal to achieve a given value for a given component feature ) . There are thus three kinds of conflicts at this level : conflicts between achieve - value goals ( inconsistent desired constraints on a ...
Page 900
... feature based CAD , to elicit information on the design " features " that combine to provide the product attributes , the relevant parameters of each feature , and the dependencies of the product attribute parameters upon each design " ...
... feature based CAD , to elicit information on the design " features " that combine to provide the product attributes , the relevant parameters of each feature , and the dependencies of the product attribute parameters upon each design " ...
Page 901
... feature property terms rather than individual items of data . For this reason the generation of cell specific procedures and data will not be included in the CAVES system . Feedback analysis This function is closely related to many of ...
... feature property terms rather than individual items of data . For this reason the generation of cell specific procedures and data will not be included in the CAVES system . Feedback analysis This function is closely related to many of ...
Contents
Preschematic Electronic Circuit Designer | 17 |
Expert Systems in Mechanical Engineering Design | 31 |
Numerical Methods in AIBased Design Systems | 45 |
Copyright | |
57 other sections not shown
Other editions - View all
Applications of Artificial Intelligence in Engineering VI George Rzevski,R.A. Adey Limited preview - 2012 |
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 block circuit complex components concept condition configuration conflict constraints construction cost database decision defined dependent described design process diagnosis domain electromagnetic electronic 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 production Prolog PROLOG III propagation PROSPEX prototype represent representation resource rules scheduling simulation solution solve specific strategy structure task techniques tool topology user interface values variables welding