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An improved algorithm for incremental extreme learning machine

Incremental extreme learning machine (I-ELM) randomly obtains the input weights and the hidden layer neuron bias during the training process. Some hidden nodes in the ELM play a minor role in the network outputs which may eventually increase the network complexity and even reduce the stability of th...

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Principais autores: Shaojian Song, Miao Wang, Yuzhang Lin
Format: Artigo
Sprog:Inglês
Udgivet: Taylor & Francis Group 2020-01-01
Serier:Systems Science & Control Engineering
Fag:
extreme learning machine
incremental algorithm
random hidden nodes
single-hidden layer feedforward neural networks
Online adgang:http://dx.doi.org/10.1080/21642583.2020.1759156
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