DocumentCode
3254643
Title
On the representation of data for optimal learning
Author
ter Brugge, M.H. ; Nijhuis, J.A.G. ; Jansen, W.J. ; Drenth, H. ; Spaanenburg, L.
Author_Institution
Dept. of Comput. Sci., Groningen Univ., Netherlands
Volume
6
fYear
1995
fDate
Nov/Dec 1995
Firstpage
3180
Abstract
The key to the successful training of a neural network lies in the careful composition of the learning set. A simple method of data screening is described to verify conformance with the restrictions imposed by the target network topology and ensuing applied to the nondestructive ultrasonic diagnosis of spot welds. It is illustrated how such a screening may indicate the suitability of a learning set before application to the neural net and therefore aids in designing a proper precoder
Keywords
data structures; fault diagnosis; learning (artificial intelligence); neural nets; welding; data representation; data screening; learning set; neural networ training; nondestructive ultrasonic diagnosis; optimal learning; precoder; spot welds; target network topology; Assembly; Classification tree analysis; Data engineering; Feedforward neural networks; Learning systems; Network topology; Neural networks; Neurofeedback; Neurons; Spot welding;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1995. Proceedings., IEEE International Conference on
Conference_Location
Perth, WA
Print_ISBN
0-7803-2768-3
Type
conf
DOI
10.1109/ICNN.1995.487294
Filename
487294
Link To Document