2021
DOI: 10.18421/tem104-61
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Predictive Error Compensating Wavelet Neural Network Model for Multivariable Time Series Prediction

Abstract: Multivariable machine learning (ML) models are increasingly used for time series predictions. However, avoiding the overfitting and underfitting in ML-based time series prediction requires special consideration depending on the size and characteristics of the available training dataset. Predictive error compensating wavelet neural network (PEC-WNN) improves the time series prediction accuracy by enhancing the orthogonal features within a data fusion scheme. In this study, time series prediction performance of … Show more

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Cited by 4 publications
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