Results 71 to 80 of about 17,157 (222)

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, Chiang, YM, Hsu, KL, Shieh, MC, Sorooshian, S, Tsai, MJ   +5 more
core   +2 more sources

Implementation and Analysis of Fuzzy Inference System (FIS) and Adaptive Neuro-Fuzzy Inference System (ANFIS) for Irrigation

International Journal of Engineering Continuity
Efficient water management in agriculture is crucial due to dynamic environmental conditions and increasing resource scarcity. Fuzzy Inference System (FIS) is widely applied in irrigation control for its ability to handle uncertaintys using rule-based domain knowledge.
Abdurohman Abdurohman, Marsul Siregar, Catherine Olivia Sereati, Silviana Windasari, MM. Lanny W. Pandjaitan   +4 more
openaire   +1 more source

Adaptive Neuro-Fuzzy Inference System (ANFIS) for Controlling Level and Pressure on Deaerator

TEKNIK, 2019
DDeaerator is one of the most widely used plants in the chemical industry and marine steam power plant. Deaerator is used to eliminate oxygen in water that enters the boiler to avoid corrosion of the boiler pipes. Control of pressure and level in deaerator needs to be done to keep the process well.
Sumardi Sumardi, Munawar A Riyadi, Lintang Nurlitha Aprivirly   +2 more
openaire   +1 more source

Machine Learning and Artificial Intelligence Techniques for Intelligent Control and Forecasting in Energy Storage‐Based Power Systems

Energy Science &Engineering, Volume 14, Issue 4, Page 2318-2344, April 2026.
A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan, Suresh Panchanathan, Chan Choon Kit, Elumalai Perumal Venkatesan, Nasim Hasan   +4 more
wiley   +1 more source

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

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  

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.), Kaymak, U. (Uzay), Tutmez, B. (Bulent)   +2 more
core   +4 more sources

Prognostics and Health Management in Polymer Electrolyte Fuel Cells: Current Trends, Challenges, and Future Directions

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, Kourosh Malek, Thomas Kadyk, Nadiia Kulyk, Christophe Gerling, Michael H. Eikerling   +5 more
wiley   +1 more source

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  

Intelligent Learning Algorithms for Active Vibration Control [PDF]

, 2007
YesThis correspondence presents an investigation into the comparative performance of an active vibration control (AVC) system using a number of intelligent learning algorithms.
Dahal, Keshav P., Hossain, M. Alamgir, Madkour, A.A.M.   +2 more
core   +1 more source