Results 81 to 90 of about 17,074 (218)
A Neuro-Fuzzy Model for Punching Shear Prediction of Slab-Column Connections Reinforced with FRP [PDF]
Journal of Soft Computing in Civil Engineering, 2019 In this article, one of the robust systems of soft computing namely adaptive neuro-fuzzy inference system (ANFIS) is used to estimate the punching shear capacity of the concrete column-slab connections reinforced with FRP.
Hosein Naderpour, Masoomeh Mirrashid
doaj +1 more source
Fuel Cells, Volume 26, Issue 2, April 2026.ABSTRACT Prognostics and health management are crucial for the reliability and lifetime assessment of polymer electrolyte fuel cells (PEFCs). Here, we review the current advances on this topic, focusing mainly on key degradation mechanisms and methodologies such as physics‐aware, data‐driven, and hybrid modeling approaches.
Farideh Abdollahi +5 more
wiley +1 more source
Adaptive neuro-fuzzy model with fuzzy clustering for nonlinear prediction and control [PDF]
, 2014 Nonlinear systems have more complex manner and profoundness than linear systems.Thus, their analyses are much more difficult.This paper presents the use of neuro-fuzzy networks as means of implementing algorithms suitable for nonlinear black-box ...
Al-Himyari, Bayadir Abbas +2 more
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Modelling electrical conductivity of groundwater using an adaptive neuro-fuzzy inference system [PDF]
, 2006 Electrical conductivity is an important indicator for water quality assessment. Since the composition of mineral salts affects the electrical conductivity of groundwater, it is important to understand the relationships between mineral salt composition ...
Hatipoglu, Z. (Z.) +2 more
core +4 more sources
Energy Science &Engineering, Volume 14, Issue 3, Page 1286-1299, March 2026.This work proposes a high‐fidelity, simulation‐driven control framework for robust grid integration of hybrid PV–wind systems using a modular, hierarchical multi‐loop architecture with adaptive decision logic. The framework coordinates power, DC‐link voltage, and grid currents under fast load and generation changes, enabling safe exploration of extreme
Wulfran Fendzi Mbasso +5 more
wiley +1 more source
Watershed rainfall forecasting using neuro-fuzzy networks with the assimilation of multi-sensor information [PDF]
, 2014 The complex temporal heterogeneity of rainfall coupled with mountainous physiographic context makes a great challenge in the development of accurate short-term rainfall forecasts. This study aims to explore the effectiveness of multiple rainfall sources (
Chang, FJ +5 more
core +2 more sources
ADAPTIVE FUZZY LOGIC SPEED CONTROLLER WITH TORQUE ADAPTED GAINS FUNCTION FOR PMSM DRIVE [PDF]
Journal of Engineering Science and Technology, 2006 This paper presents a 15 rules-base Function Torque Adapted Gain Fuzzy Inference System (FTAGFIS) adaptive speed controller for the Permanent Magnet Synchronous Motor (PMSM).
MUTASIM NOUR, SHIREEN Y.M. TOO
doaj
Forecasting Carbon Prices: A Literature Review
Journal of Forecasting, Volume 45, Issue 2, Page 496-529, March 2026.ABSTRACT Carbon emissions trading is utilized by a growing number of states as a significant tool for addressing greenhouse gas emissions (GHG), global warming problem and the climate crisis. Accurate forecasting of carbon prices is essential for effective policy design and investment strategies in climate change mitigation.
Konstantinos Bisiotis +2 more
wiley +1 more source
PERAMALAN INDEKS HARGA SAHAM GABUNGAN (IHSG) DENGAN WAVELET ADAPTIVE NEURO FUZZY INFERENCE SYSTEM [PDF]
, 2017 Indeks Harga Saham Gabungan (IHSG) adalah nilai representatif dari semua harga saham yang tercatat di Bursa Efek Indonesia (BEI). Oleh karena itu, IHSG dapat dimanfaatkan oleh investor untuk memantau pergerakan serta perkembangan harga saham di Indonesia.
Abadi, Agus Maman, Masyhuda, Muhammad
core
Modeling of shear wave velocity in limestone by soft computing methods
International Journal of Mining Science and Technology, 2017 The main purpose of current study is development of an intelligent model for estimation of shear wave velocity in limestone. Shear wave velocity is one of the most important rock dynamic parameters.
Danial Behnia +2 more
doaj +1 more source