research-article

Neural networks

Authors:

Alberto Prieto,

Beatriz Prieto,

Eva Martinez Ortigosa,

Francisco Pelayo,

Ignacio RojasAuthors Info & Claims

Neurocomputing, Volume 214, Issue C

Pages 242 - 268

https://doi.org/10.1016/j.neucom.2016.06.014

Published: 19 November 2016 Publication History

Abstract

This paper presents a comprehensive overview of modelling, simulation and implementation of neural networks, taking into account that two aims have emerged in this area: the improvement of our understanding of the behaviour of the nervous system and the need to find inspiration from it to build systems with the advantages provided by nature to perform certain relevant tasks. The development and evolution of different topics related to neural networks is described (simulators, implementations, and real-world applications) showing that the field has acquired maturity and consolidation, proven by its competitiveness in solving real-world problems. The paper also shows how, over time, artificial neural networks have contributed to fundamental concepts at the birth and development of other disciplines such as Computational Neuroscience, Neuro-engineering, Computational Intelligence and Machine Learning. A better understanding of the human brain is considered one of the challenges of this century, and to achieve it, as this paper goes on to describe, several important national and multinational projects and initiatives are marking the way to follow in neural-network research.

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Neurocomputing Volume 214, Issue C

November 2016

1063 pages

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