Title :
Optimized neural network for the stainless steel processing parameters selection
Author :
D.L. Lacrama;M.M. Karnyanszky
Author_Institution :
Comput. Dept., Univ. of Timisoara, Romania
fDate :
6/26/1905 12:00:00 AM
Abstract :
The goal of this paper is to present the optimization of a neural solution able to provide an adequate set of technological parameters (i.e. transfer object width, current intensity) for the stainless steel debiting through complex electro erosion.
Keywords :
"Neural networks","Steel","Supervised learning","Polynomials","Neurons","Machine tools","Mathematics","Curve fitting","Interpolation","Mathematical model"
Conference_Titel :
Neural Network Applications in Electrical Engineering, 2004. NEUREL 2004. 2004 7th Seminar on
Print_ISBN :
0-7803-8547-0
DOI :
10.1109/NEUREL.2004.1416532
