Extreme learning machine based transfer learning algorithms: A survey

被引:70
|
作者
Salaken, Syed Moshfeq [1 ]
Khosravi, Abbas [1 ]
Thanh Nguyen [1 ]
Nahavandi, Saeid [1 ]
机构
[1] Deakin Univ, Inst Intelligent Syst Res & Innovat, 75 Pigdons Rd, Waurn Ponds, Vic 3216, Australia
关键词
Transfer learning; Extreme learning machine;
D O I
10.1016/j.neucom.2017.06.037
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Extreme learning machine (ELM) has been increasingly popular in the field of transfer learning (TL) due to its simplicity, training speed and ease of use in online sequential learning process. This paper critically examines transfer learning algorithms formulated with ELM technique and provides state of the art knowledge to expedite the learning process ELM based TL algorithms. As this article discusses available ELM based TL algorithm in detail, it provides a holistic overview of current literature, serves as a starting point for new researchers in ELM based TL algorithms and facilitates identification of future research direction in concise manner. (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码:516 / 524
页数:9
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