Kernel Extreme Learning Machine: An Efficient Model for Estimating Daily Dew Point Temperature Using Weather Data

Kernel Extreme Learning Machine: An Efficient Model for Estimating Daily Dew Point Temperature Using Weather Data

Accurate estimation of dew point temperature (T<sub>dew</sub>) has a crucial role in sustainable water resource management. This study investigates kernel extreme learning machine (KELM), boosted regression tree (BRT), radial basis function neural network (RBFNN), multilayer perceptron n...

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Bibliographic Details
Main Authors: Meysam Alizamir, Sungwon Kim, Mohammad Zounemat-Kermani, Salim Heddam, Nam Won Kim, Vijay P. Singh
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Water
Subjects:
daily dew point temperature
kernel extreme learning machine
estimation
climatic data
Online Access:https://www.mdpi.com/2073-4441/12/9/2600

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