Natural intelligence in design and manufacturing

Ali Bahrami; Cihan H. Dagli

doi:10.1016/0360-8352(92)90060-W

Natural intelligence in design and manufacturing

Ali Bahrami
, Cihan H. Dagli

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

Abstract

This paper describes a hybrid intelligent system to implement and experiment with the "automated factory". The objective of the project is to develop and test a new method of automating design and manufacturing by utilizing natural intelligence or more specifically, techniques such as fuzzy logic, Fuzzy Associative Memory (FAM), Backpropogation neural networks (BP), and Adaptive Resonance Theory (ART1). © 1992.

Original language	American English
Journal	Computers and Industrial Engineering
Volume	23
DOIs	https://doi.org/10.1016/0360-8352(92)90060-W
State	Published - Jan 1 1992

Disciplines

Operations Research, Systems Engineering and Industrial Engineering

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https://doi.org/10.1016/0360-8352(92)90060-W

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AU - Dagli, Cihan H.

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AB - This paper describes a hybrid intelligent system to implement and experiment with the "automated factory". The objective of the project is to develop and test a new method of automating design and manufacturing by utilizing natural intelligence or more specifically, techniques such as fuzzy logic, Fuzzy Associative Memory (FAM), Backpropogation neural networks (BP), and Adaptive Resonance Theory (ART1). © 1992.

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VL - 23

JO - Computers and Industrial Engineering

JF - Computers and Industrial Engineering

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Natural intelligence in design and manufacturing

Abstract

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