Some new results on neural network approximation

JOURNAL ARTICLE published January 1993 in Neural Networks

Authors: K. Hornik

Robust stability analysis of interval fuzzy Cohen–Grossberg neural networks with piecewise constant argument of generalized type

JOURNAL ARTICLE published September 2012 in Neural Networks

Authors: Gang Bao | Shiping Wen | Zhigang Zeng

Multistability analysis of delayed recurrent neural networks with a class of piecewise nonlinear activation functions

JOURNAL ARTICLE published August 2022 in Neural Networks

Authors: Yang Liu | Zhen Wang | Qian Ma | Hao Shen

Minimum-cost associative processor for piecewise-hyperspherical classification

JOURNAL ARTICLE published January 1993 in Neural Networks

Authors: Brian A. Telfer | David P. Casasent

Coexistence and local stability of multiple equilibria in neural networks with piecewise linear nondecreasing activation functions

JOURNAL ARTICLE published March 2010 in Neural Networks

Authors: Lili Wang | Wenlian Lu | Tianping Chen

Modular neural networks for non-linearity recovering by the Haar approximation

JOURNAL ARTICLE published December 2000 in Neural Networks

Authors: Z. Hasiewicz

Neural networks, approximation theory, and finite precision computation

JOURNAL ARTICLE published January 1995 in Neural Networks

Authors: Jonathan Wray | Gary G.R. Green

Global Attractivity of Discrete-Time Recurrent Neural Networks With Lnsaturating Piecewise Linear Activation Functions

PROCEEDINGS ARTICLE published in 2005 International Conference on Neural Networks and Brain

Approximation rates for neural networks with general activation functions

JOURNAL ARTICLE published August 2020 in Neural Networks

Authors: Jonathan W. Siegel | Jinchao Xu

Noncompact uniform universal approximation

JOURNAL ARTICLE published May 2024 in Neural Networks

Authors: Teun D.H. van Nuland

Fuzzy min-max neural networks for function approximation

PROCEEDINGS ARTICLE published in IEEE International Conference on Neural Networks

Authors: P.K. Simpson | G. Jahns

Investigating the Representing Ability of Piecewise Linear Fully-Connected Neural Networks

POSTED CONTENT published

Authors: Ning-Yuan Lyu

Automatic Calibration of Numerical Models using Fast Optimisation by Fitness Approximation

PROCEEDINGS ARTICLE published August 2007 in 2007 International Joint Conference on Neural Networks

Authors: Y. Liu | S.T. Khu

Nonlinear Knowledge in Kernel Approximation

JOURNAL ARTICLE published January 2007 in IEEE Transactions on Neural Networks

Authors: O. L. Mangasarian | E. W. Wild

Simultaneous Lp-approximation order for neural networks

JOURNAL ARTICLE published September 2005 in Neural Networks

Authors: Zong-Ben Xu | Fei-Long Cao

Density-Driven Generalized Regression Neural Networks (DD-GRNN) for Function Approximation

JOURNAL ARTICLE published November 2007 in IEEE Transactions on Neural Networks

Authors: J.Y. Goulermas | P. Liatsis | P. Cook

Sweep coverage of discrete time multi-robot networks with general topologies

JOURNAL ARTICLE published 5 March 2014 in Kybernetika

Authors: Chao Zhai

Mittag-Leffler stability of fractional-order quaternion-valued memristive neural networks with generalized piecewise constant argument

JOURNAL ARTICLE published May 2023 in Neural Networks

Authors: Jingjing Wang | Song Zhu | Xiaoyang Liu | Shiping Wen

Mittag-Leffler stability of fractional-order neural networks in the presence of generalized piecewise constant arguments

JOURNAL ARTICLE published January 2017 in Neural Networks

Research funded by Natural Science Foundation of China (61673188,61304057) | Qatar National Research Fund (NPRP8-274-2-107)

Authors: Ailong Wu | Ling Liu | Tingwen Huang | Zhigang Zeng

Identification of piecewise linear dynamical systems using physically-interpretable neural-fuzzy networks: Methods and applications to origami structures

JOURNAL ARTICLE published August 2019 in Neural Networks

Research funded by National Natural Science Foundation of China (11772229,11572224) | National Natural Science Foundation of China (91748203)

Authors: Zuolin Liu | Hongbin Fang | Jian Xu