A Multilayer Perceptron Model for Stochastic Synthesis

A Multilayer Perceptron Model for Stochastic Synthesis

Time series analysis is a major mathematical tool in hydrology, with the moving average being the most popular model type for this purpose due to its simplicity. During the last 20 years, various studies have focused on an important statistical characteristic, namely the long-term persistence and th...

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Bibliographic Details
Main Authors: Evangelos Rozos, Panayiotis Dimitriadis, Katerina Mazi, Antonis D. Koussis
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Hydrology
Subjects:
time series analysis
stochastic model
machine learning
genetic algorithms
persistence
Hurst–Kolmogorov
Online Access:https://www.mdpi.com/2306-5338/8/2/67

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