An intelligent database system for composite material selection in structural design

J. L. Chen; S. H. Sun; W. C. Hwang

doi:10.1016/0957-4174(93)90006-R

An intelligent database system for composite material selection in structural design

J. L. Chen, S. H. Sun, W. C. Hwang

Department of Mechanical Engineering

Research output: Contribution to journal › Article › peer-review

12 Citations (Scopus)

Abstract

This paper describes the development of a prototype intelligent database system for composite material selection in structural design. This intelligent system integrates the expert system with the database system to provide decision-making support systems that exhibit some forms of intelligence. The overall architecture of this system is illustrated. The present capabilities of this system are discussed and demonstrated with an example problem.

Original language	English
Pages (from-to)	159-168
Number of pages	10
Journal	Expert Systems With Applications
Volume	6
Issue number	2
DOIs	https://doi.org/10.1016/0957-4174(93)90006-R
Publication status	Published - 1993 Jan 1

All Science Journal Classification (ASJC) codes

Engineering(all)
Computer Science Applications
Artificial Intelligence

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10.1016/0957-4174(93)90006-R

Cite this

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abstract = "This paper describes the development of a prototype intelligent database system for composite material selection in structural design. This intelligent system integrates the expert system with the database system to provide decision-making support systems that exhibit some forms of intelligence. The overall architecture of this system is illustrated. The present capabilities of this system are discussed and demonstrated with an example problem.",

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AB - This paper describes the development of a prototype intelligent database system for composite material selection in structural design. This intelligent system integrates the expert system with the database system to provide decision-making support systems that exhibit some forms of intelligence. The overall architecture of this system is illustrated. The present capabilities of this system are discussed and demonstrated with an example problem.

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An intelligent database system for composite material selection in structural design

Abstract

All Science Journal Classification (ASJC) codes

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