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Exact representation of piecewise affine functions via neural networks

PROCEEDINGS ARTICLE published May 2020 in 2020 European Control Conference (ECC)

Authors: Moritz Schulze Darup

2 Approximation properties

BOOK CHAPTER published 8 August 2022 in Neural Networks and Numerical Analysis

Discriminating between causal structures in Bayesian Networks given partial observations

JOURNAL ARTICLE published 23 May 2014 in Kybernetika

Authors: Philipp Moritz | Jörg Reichardt | Nihat Ay

Guaranteed approximation error estimation of neural networks and model modification

JOURNAL ARTICLE published July 2022 in Neural Networks

Research funded by National Science Foundation (2143351)

Authors: Yejiang Yang | Tao Wang | Jefferson P. Woolard | Weiming Xiang

Constructive Approximation Method of Polynomial by Neural Networks

BOOK CHAPTER published in Advances in Cognitive Neurodynamics ICCN 2007

Authors: Jianjun Wang | Zongben Xu | Jia Jing

Dynamic neural unit and function approximation

PROCEEDINGS ARTICLE published in IEEE International Conference on Neural Networks

Authors: D.H. Rao | M.M. Gupta

Computation of linear algebraic equations with solvability verification over multi-agent networks

JOURNAL ARTICLE published 22 December 2017 in Kybernetika

Authors: Xianlin Zeng | Kai Cao

Reconstructibility of Boolean control networks with time delays in states

JOURNAL ARTICLE published 10 December 2018 in Kybernetika

Authors: Ping Sun | Lijun Zhang | Kuize Zhang

Toward generating neural network structures for function approximation

JOURNAL ARTICLE published January 1994 in Neural Networks

Authors: Tarek M. Nabhan | Albert Y. Zomaya

Personenregister

BOOK CHAPTER published 1 January 2007 in Russische Wege

Authors: Felix Philipp Ingold

Piecewise Neural Networks for Function Approximation, Cast in a Form Suitable for Parallel Computation

BOOK CHAPTER published 2002 in Methods and Applications of Artificial Intelligence

Authors: Ioannis G. Tsoulos | Isaac E. Lagaris | Aristidis C. Likas

Random Projection Neural Network Approximation

PROCEEDINGS ARTICLE published July 2018 in 2018 International Joint Conference on Neural Networks (IJCNN)

Authors: Peter Andras

Design of continuous-time recurrent neural networks with piecewise-linear activation function for generation of prescribed sequences of bipolar vectors

JOURNAL ARTICLE published July 2023 in Neural Networks

Research funded by Japan Society for the Promotion of Science (JP21H03510)

Authors: Norikazu Takahashi | Tsuyoshi Yamakawa | Yasuhiro Minetoma | Tetsuo Nishi | Tsuyoshi Migita

On the approximation by single hidden layer feedforward neural networks with fixed weights

JOURNAL ARTICLE published February 2018 in Neural Networks

Authors: Namig J. Guliyev | Vugar E. Ismailov

Low dimensional approximation and generalization of multivariate functions on smooth manifolds using deep ReLU neural networks

JOURNAL ARTICLE published June 2024 in Neural Networks

Research funded by Simons Foundation (MP-TSM-00002738)

Authors: Demetrio Labate | Ji Shi

Radon transform and differentiable approximation by neural networks

PROCEEDINGS ARTICLE published in Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan)

Authors: Y. Ito

Learning fuzzy rule-based neural networks for function approximation

PROCEEDINGS ARTICLE published in [Proceedings 1992] IJCNN International Joint Conference on Neural Networks

Authors: C.M. Higgins | R.M. Goodman

Function Approximation Using Feedforward Neural Networks

OTHER published 28 March 2003 in Static and Dynamic Neural Networks

Locally Weighted Online Approximation-Based Control for Nonaffine Systems

JOURNAL ARTICLE published November 2007 in IEEE Transactions on Neural Networks

Authors: J.A. Farrell

A unified approach for neural network-like approximation of non-linear functionals

JOURNAL ARTICLE published August 1998 in Neural Networks

Authors: Tianping Chen