Natural intelligence in design and manufacturing

Author

Ali Bahrami, Missouri University of Science and TechnologyFollow
Cihan H. Dagli, Missouri University of Science and TechnologyFollow

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.

Recommended Citation

A. Bahrami and C. H. Dagli, "Natural intelligence in design and manufacturing," Computers and Industrial Engineering, vol. 23, no. 1-4, pp. 45 - 48, Elsevier, Jan 1992.

The definitive version is available at https://doi.org/10.1016/0360-8352(92)90060-W

Department(s)

Engineering Management and Systems Engineering

Comments

International Business Machines Corporation, Grant None

International Standard Serial Number (ISSN)

0360-8352

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2023 Elsevier, All rights reserved.

Publication Date

01 Jan 1992