SYSTEMATIC PARAMETER DETERMINATION IN FEEDFORWARD ARTIFICIAL NEURAL NETWORK MODELS USING CONVENTIONAL AND INTELLIGENT ALGORITHMS

Ref.No: 65131100
Start date: 01.02.2003
End date: 31.07.2004
Approval date: 26.06.2003
Department: MECHANICAL ENGINEERING
Sector: MANUFACTURING TECHNOLOGY
Financier: ΒΑΣΙΚΗ ΕΡΕΥΝΑ, E.M.P. EID.LOG.EREUNAS PD 432/
Budget: 11.738,80 €
Scientific Responsible: Assist. Prof. GEORGIOS-HRISTOFOROS VOSNIAKOS
Email: vosniak@central.ntua.gr
Description: THIS RESEARCH CONSTITUTES AN ATTEMPT TOWARDS SYSTEMATICALLY SELECTING PARAMETERS THAT DETERMINE OR INFLUENCE FEED-FORWARD ARTIFICIAL NEURAL NETWORKS WHICH WILL BE BASED ON ALGORITHMIC AS WELL AS INTELLIGENT TECHNIQUES....
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