@inproceedings{5ba49c0ad5b34db1b1b3855e15fe01bd,
title = "Continuous time modeling of nonlinear systems: a neural network-based approach",
abstract = "We present a neural network-based approach for continuous-time modeling of nonlinear systems. In a previous paper a similar goal was achieved by using feedforward networks and an explicit integrator scheme; the approach presented here is based on a implicit integrator and recurrent networks. The resulting continuous-time model (a set of ODEs) is capable of correctly capturing the long term attractors of the system.",
author = "Ramiro Rico-Martinez and Yannis Kevrekidis",
year = "1993",
month = jan,
day = "1",
language = "English (US)",
isbn = "0780312007",
series = "1993 IEEE International Conference on Neural Networks",
publisher = "Publ by IEEE",
pages = "1522--1525",
booktitle = "1993 IEEE International Conference on Neural Networks",
note = "1993 IEEE International Conference on Neural Networks ; Conference date: 28-03-1993 Through 01-04-1993",
}