Upload Records Snowball Search Search OpenAlex
About the database ScholarIQanswers from OpenAlex
Neural Networks and Applications
TopicLeading institutions, researchers & key papers
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.
156
Works
IDs:OpenAlex
How has Neural Networks and Applications's publication output changed over time?
ScholarIQpublication output · 1992–2020
Output declined50% over the shown period — from 2 works in 1992 to 1 in 2020.
2
1
1
1
2
1
1
1
1
1
1992199319951996199720022008201820192020
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
S42080949. 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
S4306420609. 1995590 Citations
Plots, Transformations, and Regression: An Introduction to Graphical Methods of Diagnostic Regression Analysis.
James S. Hodges, Anthony C. Atkinson
S4394736638. 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 JOURNALS
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
Fuzzy ARTMAP: A neural network architecture for incremental supervised learning of analog multidimensional maps
Paper
Regression modeling strategies : with applications to linear models, logistic and ordinal regression, and survival analysis
Paper
Seagull optimization algorithm: Theory and its applications for large-scale industrial engineering problems
Paper
Linear discriminant analysis: A detailed tutorial
Paper
ARTMAP: Supervised real-time learning and classification of nonstationary data by a self-organizing neural network
Paper
A survey of kernel and spectral methods for clustering
Paper