Abstract
The design of a grinding process is a difficult task since there are so many characteristics to consider. In this paper, a generic scheme to establish the norm for automation of design by employing neural nets for a surface grinding process is proposed. Design of a grinding process is accomplished by initial determination of a set of optimal design variables in order to achieve a set of desired process variables. The design problem is reduced to the inversion of a set of nonlinear simultaneous equations. Two techniques of direct and indirect inversion are employed. Decomposition of NNs and Fuzzy Accelerator are used to speed up learning.
| Original language | English (US) |
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| Pages | 715-720 |
| Number of pages | 6 |
| State | Published - 1993 |
| Event | Proceedings of the 1993 Artificial Neural Networks in Engineering, ANNIE'93 - St.Louis, MO, USA Duration: Nov 14 1993 → Nov 17 1993 |
Other
| Other | Proceedings of the 1993 Artificial Neural Networks in Engineering, ANNIE'93 |
|---|---|
| City | St.Louis, MO, USA |
| Period | 11/14/93 → 11/17/93 |
All Science Journal Classification (ASJC) codes
- Software