Generalized support vector machines (GSVMs) model for real-world time series forecasting

Mehrnaz Ahmadi; Mehdi Khashei

doi:10.1007/s00500-021-06189-z

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Generalized support vector machines (GSVMs) model for real-world time series forecasting

Mehrnaz Ahmadi Mehdi Khashei

Year: 2021 Journal: Soft Computing Vol: 25 (22)Pages: 14139-14154 Publisher: Springer Science+Business Media

DOI: 10.1007/s00500-021-06189-z

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Keywords:

Support vector machine Relevance vector machine Computer science Data mining Machine learning Fuzzy logic Artificial intelligence Time series Structured support vector machine Set (abstract data type) Least squares support vector machine

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Energy Load and Power Forecasting

Physical Sciences → Engineering → Electrical and Electronic Engineering

Grey System Theory Applications

Social Sciences → Decision Sciences → Management Science and Operations Research

Evaluation Methods in Various Fields

Physical Sciences → Environmental Science → Ecological Modeling

Generalized support vector machines (GSVMs) model for real-world time series forecasting

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