Browse Bar: Browse by Author | Browse by Category | Browse by Citation | Advanced Search
Author(s): Dagli, C.H. | Bahrami, A. | Lynch, M. |
Year: 1995
Citation: INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH Volume: 33 Issue: 2 Pages: 405-426
Abstract: We describe a hybrid intelligent design retrieval and packaging system by utilizing techniques such as fuzzy associative memory, backpropagation neural networks, and adaptive resonance theory. As an illustrative example, a prototype of the proposed system has been developed to intelligently retrieve a design from a standard set of chair designs that can satisfy the required needs. The system then automatically passes the design to an intelligent packaging system which locates the parts needed from a designated area and packages the parts in the packaging area. This novel application of neural networks could establish the basic foundation of a true intelligent manufacturing system.
Topics:
Machine Learning,
Applications:
Industrial Control,
Models:
ART 1,
