Forecast of wind speed based on MLP network model using Levenberg Marquardt and gradient descent algorithms in Tetouan city, Northern Morocco

IF 17.7 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY Accounts of Chemical Research Pub Date : 2024-01-13 DOI:10.1177/0309524x231215812

Wissal Masmoudi, Abdelouahed Djebli

引用次数: 0

Abstract

This study aims to find the most powerful algorithm between LM and GD, applying them to the multilayer neural network (MLP) to predict the wind speed of the city of Tetouan. To achieve this we will use the meteorological data of this city from 31/07/2017 to 31/08/2022. The MLP adopted for our study is composed of two hidden layers, 30 neurons in the first layer and 15 in the second, 7 inputs and one output. The data is divided into 80% for training and 20% for testing. The results obtained showed that the Levenberg-Marquardt (LM) algorithm is more efficient than the gradient descent (GD) algorithm with a correlation coefficient R = 0.988102 and a mean square error MSE = 0. 0458. These results will allow us to accurately predict the wind speed of August for the year 2022 in this city.

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使用 Levenberg Marquardt 和梯度下降算法，基于 MLP 网络模型预测摩洛哥北部德图安市的风速

本研究旨在找出 LM 和 GD 之间最强大的算法，并将其应用于多层神经网络 (MLP)，以预测特图安市的风速。为此，我们将使用该市从 2017 年 7 月 31 日至 2022 年 8 月 31 日的气象数据。我们的研究采用的 MLP 由两个隐藏层组成，第一层有 30 个神经元，第二层有 15 个神经元，7 个输入和 1 个输出。数据分为 80% 用于训练，20% 用于测试。结果显示，Levenberg-Marquardt（LM）算法比梯度下降（GD）算法更有效，相关系数 R = 0.988102，均方误差 MSE = 0.0458。这些结果将使我们能够准确预测该城市 2022 年 8 月的风速。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.