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Orthogonal stochastic configuration networks with adaptive construction parameter for data analytics

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Bibliographic Details
Main Authors: Wei, Dai, Chuanfeng, Ning, Shiyu, Pei
Format: Book
Language:English
Published: Springer 2023
Subjects:
SCNs
OSCN
Online Access:https://link.springer.com/article/10.1007/s44244-023-00004-4
https://dlib.phenikaa-uni.edu.vn/handle/PNK/7402
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spelling oai:localhost:PNK-74022023-03-31T09:08:06Z Orthogonal stochastic configuration networks with adaptive construction parameter for data analytics Wei, Dai Chuanfeng, Ning Shiyu, Pei SCNs OSCN CC BY As a randomized learner model, SCNs are remarkable that the random weights and biases are assigned employing a supervisory mechanism to ensure universal approximation and fast learning. However, the randomness makes SCNs more likely to generate approximate linear correlative nodes that are redundant and low quality, thereby resulting in non-compact network structure. In light of a fundamental principle in machine learning, that is, a model with fewer parameters holds improved generalization. This paper proposes orthogonal SCN, termed OSCN, to filtrate out the low-quality hidden nodes for network structure reduction by incorporating Gram–Schmidt orthogonalization technology. 2023-03-31T09:08:06Z 2023-03-31T09:08:06Z 2023 Book https://link.springer.com/article/10.1007/s44244-023-00004-4 https://dlib.phenikaa-uni.edu.vn/handle/PNK/7402 en application/pdf Springer
institution Digital Phenikaa
collection Digital Phenikaa
language English
topic SCNs
OSCN
spellingShingle SCNs
OSCN
Wei, Dai
Chuanfeng, Ning
Shiyu, Pei
Orthogonal stochastic configuration networks with adaptive construction parameter for data analytics
description CC BY
format Book
author Wei, Dai
Chuanfeng, Ning
Shiyu, Pei
author_facet Wei, Dai
Chuanfeng, Ning
Shiyu, Pei
author_sort Wei, Dai
title Orthogonal stochastic configuration networks with adaptive construction parameter for data analytics
title_short Orthogonal stochastic configuration networks with adaptive construction parameter for data analytics
title_full Orthogonal stochastic configuration networks with adaptive construction parameter for data analytics
title_fullStr Orthogonal stochastic configuration networks with adaptive construction parameter for data analytics
title_full_unstemmed Orthogonal stochastic configuration networks with adaptive construction parameter for data analytics
title_sort orthogonal stochastic configuration networks with adaptive construction parameter for data analytics
publisher Springer
publishDate 2023
url https://link.springer.com/article/10.1007/s44244-023-00004-4
https://dlib.phenikaa-uni.edu.vn/handle/PNK/7402
_version_ 1761912527980068864
score 8.891787

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