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Akademický článek

Dynamics of non-Newtonian Casson fluid and Cattaneo-Christov heat flux impacts on a rotating non-uniform surface due to Coriolis force: A comparison study of ANFIS-PSO and ANN

Autor: Dinesh Kumar Maddina, Suresh Kumar Raju S, Dharmaiah Gurram, Muneerah Al Nuwairan

Publikováno v: Results in Engineering, Vol 23, Iss , Pp 102653- (2024)

Aim of the present study: It must study liquid flow over surfaces above the earth because its surface rotation stimulates liquids heated amid the sun. Consequently, the Coriolis impact force is investigated on Casson convective flow fluid with Cattan

Externí odkaz: https://doaj.org/article/173fcdcd3d1247059bb990945a0123dc

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Akademický článek

Predicting the geometry of stable alluvial channels: combination of data mining and meta-heuristic optimization

Autor: Fatemeh Lanjabi Sharahi, Seyed Morteza Seyedian, Mahmood Akbari, Ali Heshmatpour

Publikováno v: Journal of Hydraulic Structures, Vol 9, Iss 3, Pp 88-102 (2023)

One of the important topics in river engineering is the design of stable alluvial channel geometry in the regime mode (dynamic balance between erosion and sedimentation) including the width, depth and slope. In this research, the ANFIS and ANFIS-PSO

Externí odkaz: https://doaj.org/article/5dee18813ded4601bba574cf36fef019

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Akademický článek

Prediction of residual tensile strength of glass fiber reinforced polymer bars in harsh alkaline concrete environment using fuzzy metaheuristic models

Autor: Mudassir Iqbal, Khalid Elbaz, Daxu Zhang, Lili Hu, Fazal E. Jalal

Publikováno v: Journal of Ocean Engineering and Science, Vol 8, Iss 5, Pp 546-558 (2023)

The long-term durability of glass fiber reinforced polymer (GFRP) bars in harsh alkaline environments is of great importance in engineering, which is reflected by the environmental reduction factor in various structural codes. The calculation of this

Externí odkaz: https://doaj.org/article/70ec9887f514495a9c79d083d4365c02

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Akademický článek

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Akademický článek

Analysis of the Performance of a Hybrid Thermal Power Plant Using Adaptive Neuro-Fuzzy Inference System (ANFIS)-Based Approaches

Autor: Kantu T. Kabengele, Isaac O. Olayode, Lagouge K. Tartibu

Publikováno v: Applied Sciences, Vol 13, Iss 21, p 11874 (2023)

The hybridization of conventional thermal power plants by the incorporation of renewable energy systems has witnessed widespread adoption in recent years. This trend aims not only to mitigate carbon emissions but also to enhance the overall efficienc

Externí odkaz: https://doaj.org/article/4294178b61f74e3f980052ebb3315783

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Akademický článek

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Akademický článek

Application of ANFIS hybrids to predict coefficients of curvature and uniformity of treated unsaturated lateritic soil for sustainable earthworks

Autor: Kennedy C. Onyelowe, Jamshid Shakeri, Hasel Amini-Khoshalann, A. Bunyamin Salahudeen, Emmanuel E. Arinze, Hyginus U. Ugwu

Publikováno v: Cleaner Materials, Vol 1, Iss , Pp 100005- (2021)

Unsaturated lateritic soils are complex soils to work with due to moisture effects. So, the determination of its properties requires lots of time, labor and equipment. For this reason, the application of evolutionary learning techniques has been adop

Externí odkaz: https://doaj.org/article/5cf724c35fa74b5b85c5fc21d814417a

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Akademický článek

Applications of ANFIS-Type Methods in Simulation of Systems in Marine Environments

Autor: Aakanksha Jain, Iman Bahreini Toussi, Abdolmajid Mohammadian, Hossein Bonakdari, Majid Sartaj

Publikováno v: Mathematical and Computational Applications, Vol 27, Iss 2, p 29 (2022)

ANFIS-type algorithms have been used in various modeling and simulation problems. With the help of algorithms with more accuracy and adaptability, it is possible to obtain better real-life emulating models. A critical environmental problem is the dis

Externí odkaz: https://doaj.org/article/5403cbd6dabe4468866993bfc9779525

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