Abstract
This paper presents a neural network approach to multiple-objective cutting parameter optimization for planning turning operations. Productivity, operation cost, and cutting quality are considered as criteria for optimizing machining operations. A feedforward neural network and a dynamic training procedure are proposed for modeling manufacturers' preferences using sampled fuzzy preferential data. Optimum cutting parameters are determined based on neural network representations of manufacturers' fuzzy preference structures. © 1993.
| Original language | English |
|---|---|
| Pages (from-to) | 389-392 |
| Journal | Computers and Industrial Engineering |
| Volume | 25 |
| Issue number | 1-4 |
| DOIs | |
| Publication status | Published - Sept 1993 |
| Externally published | Yes |
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