Relative entropy minimizing noisy non-linear neural network to approximate stochastic processes
type: Item
instance of: scholarly article
title: Relative entropy minimizing noisy non-linear neural network to approximate stochastic processes
zbMATH Open document ID: 1347.60063
author: Mathieu N. Galtier
author: Camille Marini
author: Gilles Wainrib
author: Herbert Jaeger
published in: Neural Networks
publication date: 2015-11-06T00:00:00Z
full work available at URL: https://arxiv.org/abs/1402.1613
Mathematics Subject Classification ID: 60G99
Mathematics Subject Classification ID: 60K40
Mathematics Subject Classification ID: 92B20
Mathematics Subject Classification ID: 65C20
Mathematics Subject Classification ID: 86A10
zbMATH DE Number: 6505375
zbMATH Keywords: stochastic processes
zbMATH Keywords: approximation
zbMATH Keywords: neural networks
zbMATH Keywords: relative entropy
zbMATH Keywords: echo state networks
zbMATH Keywords: linear inverse modeling
zbMATH Keywords: El Niño phenomenon
describes a project that uses: PRMLT
describes a project that uses: darch
MaRDI profile type: Publication
OpenAlex ID: W1978148674
arXiv ID: 1402.1613
Wikidata QID: Q51088425
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DOI: 10.1016/J.NEUNET.2014.04.002
description: scientific article