DOIONLINE

DOIONLINE NO - IJACEN-IRAJ-DOIONLINE-9025

Publish In
International Journal of Advance Computational Engineering and Networking (IJACEN)-IJACEN
Journal Home
Volume Issue
Issue
Volume-5,Issue-8  ( Aug, 2017 )
Paper Title
Neural Network Architecture through Data Mining Techniques
Author Name
Mohamed Lafif Tej
Affilition
Politehnica University of Timișoara Romania
Pages
26-29
Abstract
The paper presents the technique used to determine the optimal neural network architecture by means of Pattern Recognition and Data Mining Techniques. Using clustering techniques on the data to be processed in the context of the way to work unsupervised and to correlate the number of groups obtained with the optimal number of hidden layers for a multilayer neural network. Index Terms—Clustering Methods, Data Mining, Hidden Layers, Neural Network Architecture, Pattern Recognition.
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