On this page:OverviewPublicationsResearchersKey papersJournalsOpen accessInstitutions
ScholarIQanswers from OpenAlex

Neural Networks and Applications

TopicLeading institutions, researchers & key papers

Neural Networks and Applications is a topic indexed in ScholarIQ from OpenAlex.

What is known about Neural Networks and Applications?

ScholarIQrecord summary

This cluster of papers covers a wide range of topics related to neural networks, including backpropagation learning, self-organizing maps, radial basis function networks, deep learning, and applications such as pattern classification and function approximation.

How many works does Neural Networks and Applications have?

ScholarIQindexed works

Neural Networks and Applications has 156 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.

What is the OpenAlex record for Neural Networks and Applications?

ScholarIQopenalex

The OpenAlex for Neural Networks and Applications is on the source record.

What are the most-cited papers on Neural Networks and Applications?

ScholarIQmost cited works
Fuzzy ARTMAP: A neural network architecture for incremental supervised learning of analog multidimensional maps
Gail A. Carpenter, Stephen Grossberg, Natalya Markuzon, John H. Reynolds, David B. Rosen
IEEE Transactions on Neural Networks. 19921,985 Citations
ARTMAP: Supervised real-time learning and classification of nonstationary data by a self-organizing neural network
Gail A. Carpenter, Stephen Grossberg, John H. Reynolds
Neural Networks. 1991987 Citations
Extracting Tree-Structured Representations of Trained Networks
Mark Craven, Jude Shavlik
Neural Information Processing Systems. 1995590 Citations
Plots, Transformations, and Regression: An Introduction to Graphical Methods of Diagnostic Regression Analysis.
James S. Hodges, Anthony C. Atkinson
Journal of the American Statistical Association. 1987401 Citations
Multilayer feedforward networks with a nonpolynomial activation function can approximate any function
Moshe Leshno, Valdimir Ya. Lin, Allan Pinkus, Shimon Schocken
Neural Networks. 1993288 CitationsOPEN ACCESS

Where is Neural Networks and Applications research published, and who funds it?

ScholarIQvenues & funding sources

TOP FUNDERS

National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
Funder breakdown is a member featureSign up free to unlock

How much of the research on Neural Networks and Applications is open access?

ScholarIQopen access share
27%OPEN ACCESS
Gold
7%
Green
20%
Hybrid
0%
Bronze
0%
Closed
73%

Related on ScholarIQ

470M+ articles · 14-day free trial