FP-ELM: An online sequential learning algorithm for dealing with concept drift-Reference-Cited by-同舟云学术

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FP-ELM: An online sequential learning algorithm for dealing with concept drift

Published:2016-09 Issue: Volume:207 Page:322-334
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Liu Dong,Wu YouXi,Jiang He

Funder

Natural Science Foundation of China

Natural Science Foundation of Hebei Province of China

Key Project of the Educational Commission of Hebei

Youth Foundation of Education Commission of Hebei

Science and Technology Planning

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference42 articles.

1. Musical pitch estimation using a supervised single hidden layer feed-forward neural network;Taweewat;Expert Syst. Appl.,2013

2. A one-layer recurrent neural network for real-time portfolio optimization with probability criterion;Liu;IEEE Trans. Cybern.,2013

3. Approximation capabilities of multilayer feedforward networks;Hornik;Neural Netw.,1991

4. Multilayer feedforward networks with a nonpolynomial activation function can approximate any function;Leshno;Neural Netw.,1993

5. Universal approximation using radial basis-function networks;Park;Neural Comput.,1991

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