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Titlebook: Applications of Artificial Intelligence in Engineering Problems; Proceedings of the 1 D. Sriram,R. Adey Conference proceedings 1986 Springe

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期刊全稱Applications of Artificial Intelligence in Engineering Problems
期刊簡(jiǎn)稱Proceedings of the 1
影響因子2023D. Sriram,R. Adey
視頻videohttp://file.papertrans.cn/160/159300/159300.mp4
圖書封面Titlebook: Applications of Artificial Intelligence in Engineering Problems; Proceedings of the 1 D. Sriram,R. Adey Conference proceedings 1986 Springe
Pindex Conference proceedings 1986
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Hierarchical Conceptual Clusteringal techniques for this purpose, developed in numerical data analysis, are often inadequate because they cluster objects solely on the basis of a numerical measure of similarity. Thus the clusters obtained have no simple descriptions. This limitation is overcome by the conceptual hierarchical methods
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Lessons Learned Developing a Planning Systemtop-down structured programming, but we also discuss our own policies (the good, the bad and the unimplemented) from which others might choose or avoid to their benefit. Another category of lessons learned is knowledge of what we do not know how to do. An example of this is pattern matching across p
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Counter Examples and Explanationsneralization, AGAPE, based on the principle of structural matching has been implemented. Examples are progressively transformed to get the same form i.e. to be instantiations of a common formula, with different links between variables. That formula, and the common links between variables give the ge
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Interpretation of Pipe Networks by Magnetic Sensingto enforce the correct placement of steel in new concrete, and is even more important in assessing as-built structures. Rebar mapping is essential in post-construction operations such as coring and anchor emplacement in nuclear power plants. Pipe mapping is invaluable to the excavation and repair of
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