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Artificial Intelligence Review
Erschienen in: Artificial Intelligence Review 4/2018

18.01.2017

Research and development of neural network ensembles: a survey

verfasst von: Hui Li, Xuesong Wang, Shifei Ding

Erschienen in: Artificial Intelligence Review | Ausgabe 4/2018

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Abstract

A Neural Network Ensemble (NNE) combines the outputs of several individually trained neural networks in order to improve generalization performance. This article summarizes different approaches on the development and the latest studies on NNE. The introduction of the basic principles of NNE is followed by detailed descriptions of individual neural network generation method, conclusion generation method and fusion based on granular computing and NNE. In addition, for each of these methods we provide a short taxonomy in terms of their relevant characteristics, and analyze several of NNE applications, classic algorithms and contributions on various fields.
Nächster Artikel A review on the applications of neuro-fuzzy systems in business

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Metadaten
Titel
Research and development of neural network ensembles: a survey
verfasst von
Hui Li
Xuesong Wang
Shifei Ding
Publikationsdatum
18.01.2017
Verlag
Springer Netherlands
Erschienen in
Artificial Intelligence Review / Ausgabe 4/2018
Print ISSN: 0269-2821
Elektronische ISSN: 1573-7462
DOI
https://doi.org/10.1007/s10462-016-9535-1

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