Feature-based environmental issues: Neural network-based feature recognition
Date
1999
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Inderscience Enterprises
Abstract
Today, the automotive industry is faced with more pressure to realize higher quality products, lower production costs and shorter lead times. The key to the success of organizations is the effective integration of design and other downstream applications such as machining, process planning, analysis, assembly, inspection etc. This paper reviews the current research in feature recognition and neural network applications in feature-based environment. The central issues associated with feature-based environment and drawbacks of the current approaches are addressed. The future research directions and proposals to overcome the shortcomings are presented.
Description
Keywords
Engineering, Transportation, Feature-based design, Feature recognition, Neural network, Boundary representations, Manufacturing features, Feature-extraction, Form features, Solid models, Components, System integration, Heuristics, Environmental impact, Environmental protection, Feature extraction, Neural networks, Automobile manufacture
Citation
Öztürk, F. ve Öztürk, N. (1999). "Feature-based environmental issues: Neural network-based feature recognition". International Journal of Vehicle Design, 21(2-3), 190-204.