Adaptive neuro-fuzzy approach for solar radiation prediction in Nigeria

L Olatomiwa, S Mekhilef, S Shamshirband… - … and Sustainable Energy …, 2015 - Elsevier
In this paper, the accuracy of a soft computing technique is investigated for predicting solar
radiation based on a series of measured meteorological data: monthly mean minimum …

Modelling a combined method based on ANFIS and neural network improved by DE algorithm: A case study for short-term electricity demand forecasting

Y Yang, Y Chen, Y Wang, C Li, L Li - Applied Soft Computing, 2016 - Elsevier
Electricity demand forecasting, as a vital tool in the electricity market, plays a critical role in
power utilities, which can not only reduce production costs but also save energy resources …

A novel hybrid extreme learning machine–grey wolf optimizer (ELM-GWO) model to predict compressive strength of concrete with partial replacements for cement

M Shariati, MS Mafipour, B Ghahremani… - Engineering with …, 2022 - Springer
Compressive strength of concrete is one of the most determinant parameters in the design of
engineering structures. This parameter is generally determined by conducting several tests …

A novel approach to predict shear strength of tilted angle connectors using artificial intelligence techniques

M Shariati, MS Mafipour, P Mehrabi, A Shariati… - Engineering with …, 2021 - Springer
Shear connectors play a prominent role in the design of steel-concrete composite systems.
The behavior of shear connectors is generally determined through conducting push-out …

Application of ANFIS technique on performance of C and L shaped angle shear connectors

Y Sedghi, Y Zandi, M Shariati, E Ahmadi… - Smart structures and …, 2018 - dbpia.co.kr
The behavior of concrete slabs in composite beam with C and L shaped angle shear
connectors has been studied in this paper. These two types of angle shear connectors' …

Moment rotation prediction of precast beam to column connections using extreme learning machine

M Safa, V Kachitvichyanukul - … Engineering and Mechanics, An Int'l …, 2019 - dbpia.co.kr
The performance of precast concrete structures is greatly influenced by the behaviour of
beam-to-column connections. A single connection may be required to transfer several loads …

RETRACTED ARTICLE: Analysis of influential factors for predicting the shear strength of a V-shaped angle shear connector in composite beams using an adaptive …

I Mansouri, M Shariati, M Safa, Z Ibrahim… - Journal of Intelligent …, 2019 - Springer
The V-shaped angle shear connector is recognized as to expand certain mechanical
properties to the shear connectors, contains adequate ductility, elevate resistance, power …

Adaptive neuro-fuzzy maximal power extraction of wind turbine with continuously variable transmission

D Petković, Ž Ćojbašić, V Nikolić, S Shamshirband… - Energy, 2014 - Elsevier
In recent years the use of renewable energy including wind energy has risen dramatically.
Because of the increasing development of wind power production, improvement of the …

Adaptive neuro-fuzzy approach for wind turbine power coefficient estimation

D Petković, Ž Ćojbašič, V Nikolić - Renewable and Sustainable Energy …, 2013 - Elsevier
Wind energy has become a large contender of traditional fossil fuel energy, particularly with
the successful operation of multi-megawatt sized wind turbines. However, reasonable wind …

Portland cement structure and its major oxides and fineness

A Nosrati, Y Zandi, M Shariati, K Khademi… - Smart Structures and …, 2018 - dbpia.co.kr
Predicting the compressive strength of concrete has been considered as the initial phase
across the cement production processing. The current study has focused on the integration …