Citation Impact

Citing Papers

Fuzzy basis functions, universal approximation, and orthogonal least-squares learning
1992 Standout
Orthogonal least squares learning algorithm for radial basis function networks
1991 Standout
Nonlinear principal component analysis using autoassociative neural networks
1991 Standout
On the structure of finite rings. II
1974 StandoutNobel
Universal approximation bounds for superpositions of a sigmoidal function
1993 Standout
Forecasting with artificial neural networks:
1998 Standout
Networks for approximation and learning
1990 Standout
Universal Approximation Using Radial-Basis-Function Networks
1991 Standout
What can machine learning do? Workforce implications
2017 StandoutScience
Evolving Neural Networks through Augmenting Topologies
2002 Standout
Hidden fluid mechanics: Learning velocity and pressure fields from flow visualizations
2020 StandoutScience
Universal Approximation using Incremental Constructive Feedforward Networks with Random Hidden Nodes
2006 Standout
Review on deep learning applications in frequency analysis and control of modern power system
2021 Standout
Kolmogorov's theorem and multilayer neural networks
1992 Standout
Managerial Applications of Neural Networks: The Case of Bank Failure Predictions
1992 Standout
Multilayer feedforward networks are universal approximators
1989 Standout
Deep Reinforcement Learning: A Survey
2022 Standout
Understanding deep learning (still) requires rethinking generalization
2021 Standout
Approximation capabilities of multilayer feedforward networks
1991 Standout
Approximation by superpositions of a sigmoidal function
1989 Standout
Pointwise bounded approximation by functions satisfying a side condition
1974
L2 estimates and existence theorems for the $\bar \partial $ operator
1965
Extreme learning machines: a survey
2011 Standout
Past, present and future of nonlinear system identification in structural dynamics
2005 Standout
DGM: A deep learning algorithm for solving partial differential equations
2018 Standout
Neural Networks and the Bias/Variance Dilemma
1992 Standout
A review of process fault detection and diagnosis
2003 Standout
Gradient-based learning applied to document recognition
1998 Standout
The Bergman kernel and biholomorphic mappings of pseudoconvex domains
1974 Standout
Robust Adaptive Control of Feedback Linearizable MIMO Nonlinear Systems With Prescribed Performance
2008 Standout

Works of Leon Brown being referenced

Spectral synthesis and the Pompeiu problem
1973
On absolutely convergent exponential sums
1960
On non-linear equations in a complex Banach space
1961
Rankless by CCL
2026