A NEURAL-NETWORK-BASED METHODOLOGY FOR MACHINING KNOWLEDGE ACQUISITION

Authors
COX LD ALGHANIM AM CULLER DE
Citation
Ld. Cox et al., A NEURAL-NETWORK-BASED METHODOLOGY FOR MACHINING KNOWLEDGE ACQUISITION, Computers & industrial engineering, 29, 1995, pp. 217-220
Citations number
5
Categorie Soggetti
Computer Application, Chemistry & Engineering","Computer Science Interdisciplinary Applications","Engineering, Industrial
Journal title
Computers & industrial engineering → ACNP
ISSN journal
03608352
Volume
29
Year of publication
1995
Pages
217 - 220
Database
ISI
SICI code
0360-8352(1995)29:<217:ANMFMK>2.0.ZU;2-#
Abstract
The paper presents results of a study-on collecting machining strategi es for machining assistants and process planning. These efforts are be ing conducted at the NMSU-Integrated Manufacturing Systems Laboratory (IMSL). Goals of the project aim at improving and advancing the solici tation, documentation, and automation of machining knowledge/data acqu isition, and integration with CAD/CAM/CAE systems. This paper emphasiz es the knowledge acquisition phase of the study utilizing artificial n eural networks.