An ensemble based on neural networks with random weights for online data stream regression

Most information sources in the current technological world are generating data sequentially and rapidly, in the form of data streams. The evolving nature of processes may often cause changes in data distribution, also known as concept drift, which is difficult to detect and causes loss of accuracy...

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Bibliographic Details
Main Authors: Ricardo De-Almeida, Yee Goh, Radmehr Monfared, Maria Teresinha Arns Steiner, Andrew West
Format: Default Article
Published: 2019
Subjects:
Artificial intelligence not elsewhere classified
Artificial Intelligence & Image Processing
Applied Mathematics
Cognitive Sciences
Ensembles
Data stream regression
Neural networks with random weights
Hyperparameter adjustment
Artificial Intelligence and Image Processing
Online Access:https://hdl.handle.net/2134/10247597.v1
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https://hdl.handle.net/2134/10247597.v1

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