A general regression neural network

Clicks: 357
ID: 109987
1991
Free PDF
Article Quality & Performance Metrics
Overall Quality Improving Quality
0.0 /100
Combines engagement data with AI-assessed academic quality
AI Quality Assessment
Not analyzed
Abstract
A memory-based network that provides estimates of continuous variables and converges to the underlying (linear or nonlinear) regression surface is described. The general regression neural network (GRNN) is a one-pass learning algorithm with a highly parallel structure. It is shown that, even with sp …
Reference Key
df1991ieeea Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Specht DF;;
Journal IEEE Transactions on Neural Networks
Year 1991
DOI
DOI not found
URL
https://www.ncbi.nlm.nih.gov/pubmed/18282872##heading
Keywords
National Center for Biotechnology Information NCBI NLM MEDLINE pubmed abstract nih national institutes of health national library of medicine pmid:18282872 doi:10.1109/72.97934 D F Specht

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.