An update on the status of Fishing Cat Prionailurus viverrinus Bennett, 1833 (Carnivora: Felidae) in Thailand
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Author list: Chutipong W., Kamjing A., Klinsawat W., Ngoprasert D., Phosri K., Sukumal N., Wongtung P., Tantipisanuh N.
Publisher: Elsevier B.V.
Publication year: 2019
Volume number: 11
Issue number: 4
Start page: 13459
End page: 13469
Number of pages: 11
ISSN: 1110-0168
eISSN: 1110-0168
Languages: English-Great Britain (EN-GB)
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Abstract
For analysis of physical properties of different materials, rectangular porous fins are used to examine the heat transformation through a system. In this paper, a metaheuristic is combined with neural computing modelling to study the effects of temperature changes in a porous fin model. Cuckoo search algorithm is used as an efficient optimization technique to find the best weights to reduce the mean squared error in the required temperature profile. The governing partial differential equation is converted into a non-linear ordinary differential equation subject to certain boundary conditions. Two individual cases, of silicon nitride (Si3N4) and Aluminium (Al), are considered. In the proposed procedure, the Cuckoo Search(CS) algorithm is combined with the artificial neural network (ANN), namely CS-ANN, to solve the differential equations and obtain solutions with better accuracy. ฉ 2019 Faculty of Engineering, Alexandria University
Keywords
Artificial Intelligence, Cuckoo search algorithm, Differential equations, Heat distribution, Metaheuristics, Porous fin
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