PREDICTING LEATHER HANDLE LIKE AN EXPERT BY ARTIFICIAL NEURAL NETWORKS

A paper has been recently published that combines artificial intelligence and leather science research looking at modelling the subjective assessment of leather handle.

Abstract

This study developed an artificial neural network model to predict the subjective assessment of leather handle by an expert using its measurable physical characteristics. A statistical method was applied to prune the inputs of the network and the “error band” conception was proposed during training.


More details can be found at:

Wang, Y., Picton, P., Turner, S. and Attenburrow, G (2011) Predicting Leather Handle like an Expert Artificial Neural Networks, Applied Artificial Intelligence, Volume 25, Issue 2  February 2011 , pages 180 - 192 ISSN: 0883-9514 DOI:10.1080/08839514.2011.545218