Strathprints logo
Strathprints Home | Open Access | Browse | Search | User area | Copyright | Help | Library Home | SUPrimo

Info-gap approaches to neural net classifiers and regressors

Pierce, S.G. and Worden, K. and Manson, G. (2005) Info-gap approaches to neural net classifiers and regressors. In: Information Gap Workshop, 2005-09-29 - 2005-09-30, Newcastle-upon-Tyne.

Full text not available in this repository. (Request a copy from the Strathclyde author)

Abstract

This paper discussed Info-gap approaches to neural net classifiers and regressors. It was presented at the Information Gap Workshop in 2005.

Item type: Conference or Workshop Item (Paper)
ID code: 37996
Keywords: information gap, neural net classifiers, neural net regressors, neural nets, Electrical engineering. Electronics Nuclear engineering
Subjects: Technology > Electrical engineering. Electronics Nuclear engineering
Department: Faculty of Engineering > Electronic and Electrical Engineering
Related URLs:
Depositing user: Pure Administrator
Date Deposited: 29 Feb 2012 10:45
Last modified: 17 Jul 2013 15:21
URI: http://strathprints.strath.ac.uk/id/eprint/37996

Actions (login required)

View Item