Paper Titles

Preparation of Al-Fe-V-Si Nanocrystalline Powders by Double Mechanical Alloying
p.1225

The ALFLOW-Model - A Microstructural Approach to Constitutive Plasticity-Modelling of Aluminium Alloys
p.1231

Mechanical Behavior of Thin Sheets Machined from AA7050-T7451 Plate
p.1243

Influence of Different Minor Additions on Structure and Properties of High-Strength Al-Zn-Mg-Cu Alloy Sheets
p.1249

Neurofuzzy and SUPANOVA Modelling of Structure-Property Relationships in Al-Zn-Mg-Cu Alloys
p.1255

Effects of Damaged Coarse Inclusion Particles on Mechanical Properties of Wrought Aluminum Alloys
p.1261

Effect of Strain State on a Yield Anisotropy Model for Materials Strengthened by Plate-Shaped Precipitates
p.1267

On the Direct Estimation of Ductility from Fracture Surfaces of an Aged Al-Si-Ge Alloy
p.1273

A Finite Element Analysis of Strengthening Effects of Plate-Like Particles in a Metal Matrix
p.1279

HomeMaterials Science ForumMaterials Science Forum Vols. 331-337Neurofuzzy and SUPANOVA Modelling of...

Neurofuzzy and SUPANOVA Modelling of Structure-Property Relationships in Al-Zn-Mg-Cu Alloys

Article Preview

Abstract:

You might also be interested in these eBooks

Aluminium Alloys - Their Physical and Mechanical Properties

Info:

Periodical:

Materials Science Forum (Volumes 331-337)

Pages:

1255-1260

DOI:

https://doi.org/10.4028/www.scientific.net/MSF.331-337.1255

Citation:

Cite this paper

Online since:

May 2000

Authors:

O.P. Femminella, Marco J. Starink, S.R. Gunn, C.J. Harris, P.A.S. Reed

Keywords:

AA7xxx, Neural Network (NN), Property Prediction, Support Vector Machine (SVM)

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

© 2000 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation: