Leak Detection in Water Pipes Based on Maximum Entropy Version of Least Square Twin K-Class Support Vector Machine

Numerous novel improved support vector machine (SVM) methods are used in leak detection of water pipelines at present. The least square twin K-class support vector machine (LST-KSVC) is a novel simple and fast multi-classification method. However, LST-KSVC has a non-negligible drawback that it assig...

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Detalles Bibliográficos
Autores principales: Liu, Mingyang, Yang, Jin, Zheng, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8534886/
https://www.ncbi.nlm.nih.gov/pubmed/34681971
http://dx.doi.org/10.3390/e23101247

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8534886/
https://www.ncbi.nlm.nih.gov/pubmed/34681971
http://dx.doi.org/10.3390/e23101247

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