Research and development of neural network ensembles: a survey-Reference-Cited by-同舟云学术

Research and development of neural network ensembles: a survey

Published:2017-01-18 Issue:4 Volume:49 Page:455-479
ISSN:0269-2821
Container-title:Artificial Intelligence Review
language:en
Short-container-title:Artif Intell Rev

Author:

Li Hui,Wang Xuesong,Ding Shifei

Funder

the National Natural Science Foundation of China

the National Key Basic Research Program of China

the Natural Science Foundation of Jiangsu Normal University

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics

Link

http://link.springer.com/article/10.1007/s10462-016-9535-1/fulltext.html

Reference169 articles.

1. Abbass HA (2000) A memetic pareto evolutionary approach to artificial neural networks. In: Proceedings of the 14th Australian joint conference on artificial intelligence. Springer, Berlin, pp 1–12

2. Abraham A, Grosan C, Han S, Gelbukh A (2005) Evolutionary multiobjective optimization approach for evolving ensemble of intelligent paradigms for stock modeling. In: Lecture notes in computer science. pp 673–681

3. Alhamdoosh M, Wang D (2014) Fast decorrelated neural network ensembles with random weights. Inf Sci 264:104–117

4. Ao SI, Palade V (2011) Ensemble of Elman neural networks and support vector machines for reverse engineering of gene regulatory networks. Appl Soft Comput 11(2):1718–1726

5. Bakker B, Heskes T (2003) Clustering ensembles of neural network models. Neural Netw 16:261–269

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