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SINE COSINE ALGORITHM BASED NEURAL NETWORK FOR RAINFALL DATA IMPUTATION

The Sine Cosine Algorithm (SCA) is a relatively recent metaheuristic algorithm, drawing inspiration from the characteristics of trigonometric sine and cosine functions. SCA has been widely used to address diverse optimization challenges in several domains. The advantages of SCA can be attributed to...

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Main Authors: Chiu, Po Chan, Ali, Selamat, Kuok, King Kuok
Format: Book Chapter
Language:English
Published: Cambridge Scholars Publishing 2024
Subjects:
T Technology (General)
Online Access:http://ir.unimas.my/id/eprint/46890/1/Metaheuristic%20Algorithms%20and%20Neural.pdf
http://ir.unimas.my/id/eprint/46890/
https://www.cambridgescholars.com/product/978-1-0364-0804-6
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spelling my.unimas.ir-468902024-12-24T02:58:00Z http://ir.unimas.my/id/eprint/46890/ SINE COSINE ALGORITHM BASED NEURAL NETWORK FOR RAINFALL DATA IMPUTATION Chiu, Po Chan Ali, Selamat Kuok, King Kuok T Technology (General) The Sine Cosine Algorithm (SCA) is a relatively recent metaheuristic algorithm, drawing inspiration from the characteristics of trigonometric sine and cosine functions. SCA has been widely used to address diverse optimization challenges in several domains. The advantages of SCA can be attributed to its simple implementation, reasonable execution time, and adaptability to hybridize with other optimization methods easily. This chapter presents the ability of the sine cosine algorithm-based neural network (SCANN) to predict and optimize missing rainfall at different percentages of missing rates. These findings revealed the superior performance of the SCANN imputation method compared to the feedforward neural network (FFNN) method, indicating its suitability for efficiently filling missing values in the rainfall database. Cambridge Scholars Publishing Kuok, King Kuok Md. Rezaur, Rahman 2024-08-30 Book Chapter PeerReviewed text en http://ir.unimas.my/id/eprint/46890/1/Metaheuristic%20Algorithms%20and%20Neural.pdf Chiu, Po Chan and Ali, Selamat and Kuok, King Kuok (2024) SINE COSINE ALGORITHM BASED NEURAL NETWORK FOR RAINFALL DATA IMPUTATION. In: Metaheuristic Algorithms and Neural Networks in Hydrology. Cambridge Scholars Publishing, pp. 194-207. ISBN 1-0364-0804-3 https://www.cambridgescholars.com/product/978-1-0364-0804-6
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Chiu, Po Chan
Ali, Selamat
Kuok, King Kuok
SINE COSINE ALGORITHM BASED NEURAL NETWORK FOR RAINFALL DATA IMPUTATION
description The Sine Cosine Algorithm (SCA) is a relatively recent metaheuristic algorithm, drawing inspiration from the characteristics of trigonometric sine and cosine functions. SCA has been widely used to address diverse optimization challenges in several domains. The advantages of SCA can be attributed to its simple implementation, reasonable execution time, and adaptability to hybridize with other optimization methods easily. This chapter presents the ability of the sine cosine algorithm-based neural network (SCANN) to predict and optimize missing rainfall at different percentages of missing rates. These findings revealed the superior performance of the SCANN imputation method compared to the feedforward neural network (FFNN) method, indicating its suitability for efficiently filling missing values in the rainfall database.
author2 Kuok, King Kuok
author_facet Kuok, King Kuok
Chiu, Po Chan
Ali, Selamat
Kuok, King Kuok
format Book Chapter
author Chiu, Po Chan
Ali, Selamat
Kuok, King Kuok
author_sort Chiu, Po Chan
title SINE COSINE ALGORITHM BASED NEURAL NETWORK FOR RAINFALL DATA IMPUTATION
title_short SINE COSINE ALGORITHM BASED NEURAL NETWORK FOR RAINFALL DATA IMPUTATION
title_full SINE COSINE ALGORITHM BASED NEURAL NETWORK FOR RAINFALL DATA IMPUTATION
title_fullStr SINE COSINE ALGORITHM BASED NEURAL NETWORK FOR RAINFALL DATA IMPUTATION
title_full_unstemmed SINE COSINE ALGORITHM BASED NEURAL NETWORK FOR RAINFALL DATA IMPUTATION
title_sort sine cosine algorithm based neural network for rainfall data imputation
publisher Cambridge Scholars Publishing
publishDate 2024
url http://ir.unimas.my/id/eprint/46890/1/Metaheuristic%20Algorithms%20and%20Neural.pdf
http://ir.unimas.my/id/eprint/46890/
https://www.cambridgescholars.com/product/978-1-0364-0804-6
_version_ 1819914971847327744
score 13.223943

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