Dimension Reduction of Machine Learning-Based Forecasting Models Employing Principal Component Analysis

Dimension Reduction of Machine Learning-Based Forecasting Models Employing Principal Component Analysis

In this research, an attempt was made to reduce the dimension of wavelet-ANFIS/ANN (artificial neural network/adaptive neuro-fuzzy inference system) models toward reliable forecasts as well as to decrease computational cost. In this regard, the principal component analysis was performed on the input...

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Bibliographic Details
Main Authors: Yinghui Meng, Sultan Noman Qasem, Manouchehr Shokri, Shahab S
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Mathematics
Subjects:
machine learning
dimensionality reduction
wavelet transform
water quality
principal component analysis
Online Access:https://www.mdpi.com/2227-7390/8/8/1233

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