Introduction to Radial Basis Function Networks

http://anc.ed.ac.uk/rbf/intro/intro.html

This article introduces Radial Basis Function (RBF) networks. These networks rely heavily on regression analysis techniques. Topics include Nonparametric Regression, Classification and Time Series Prediction, Linear Models, Least Squares, Model Selection Criteria, Ridge Regression, and Forward Selection.

Resource Type	Reference Material (DCMI Type Vocabulary)
Format	html
Audience	College --Undergrad Upper Division Graduate School
Source	http://anc.ed.ac.uk/rbf/
Email Address	mjo@anc.ed.ac.uk
Date Of Record Creation	2006-09-05 10:50:48
Date Of Record Release	2006-09-05 10:50:48
Date Last Modified	2006-09-05 10:52:51
Statistical Topic	Statistical Inference and Techniques -- Linear Models -- Regression Statistical Inference and Techniques -- Nonparametric Techniques
Material Type	Out-of-class
Author's Name	Mark Orr
Author's Organization	Edinburgh University
Source Code Available	No
Intended User Role	Learner
Application Area	Psychology
Copyrights	Yes
Cost involved with use	Free to all
Math Level	Calculus required

Date Record Checked: 2006-09-05 00:00:00

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Introduction to Radial Basis Function Networks