Jump to content

General regression neural network: Difference between revisions

Edit links
From Wikipedia, the free encyclopedia
Browse history interactively
← Previous editNext edit →
Content deleted Content added
VisualWikitext
No edit summary
m formatting
Line 1: Line 1:
Generalized regression neural network (GRNN) is a variation to radial basis neural networks (RBFNN). GRNN was suggested by D.F. Specht in 1991<ref>http://ieeexplore.ieee.org/document/97934/</ref>. It can be used for regression, prediction and classification. GRNN can also be good solution for online dynamic systems.
== Generalized regression neural network (GRNN) is a variation to radial basis neural networks ([[Radial basis function network|RBFNN]]). GRNN was suggested by D.F. Specht in 1991<ref>http://ieeexplore.ieee.org/document/97934/</ref>. It can be used for regression, prediction, and classification. GRNN can also be a good solution for online dynamic systems. ==

Revision as of 04:14, 13 March 2017

Generalized regression neural network (GRNN) is a variation to radial basis neural networks (RBFNN). GRNN was suggested by D.F. Specht in 1991[1]. It can be used for regression, prediction, and classification. GRNN can also be a good solution for online dynamic systems.

  1. ^ http://ieeexplore.ieee.org/document/97934/
Retrieved from "https://en.wikipedia.org/w/index.php?title=General_regression_neural_network&oldid=770051068"