Results 71 to 80 of about 31,556 (234)

Design an intelligent controller for full vehicle nonlinear active suspension systems [PDF]

, 2011
The main objective of designed the controller for a vehicle suspension system is to reduce the discomfort sensed by passengers which arises from road roughness and to increase the ride handling associated with the pitching and rolling movements.
Aldair, A A, Wang, W J
core   +2 more sources

Rainfall Prediction Using Adaptive Neuro-Fuzzy Inference System

Journal of Intelligent Systems with Applications, 2018
The rainfall prediction is of great importance in the utilization and planning of water resources. In this study, the validity of Adaptive Neuro-Fuzzy Inference System (ANFIS) in rainfall prediction is investigated. The ANFIS models are developed with different input combinations and it is observed that ANFIS models give successful results in rainfall ...
Ozlem Terzi, Onur Ozcanoglu, Tahsin Baykal   +2 more
openaire   +1 more source

Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges

Epilepsia Open, EarlyView.
Abstract Preclinical translational epilepsy research uses animal models to better understand the mechanisms underlying epilepsy and its comorbidities, as well as to analyze and develop potential treatments that may mitigate this neurological disorder and its associated conditions. Artificial intelligence (AI) has emerged as a transformative tool across
Jesús Servando Medel‐Matus, Cesar Santana‐Gomez, Ruby G. Escalante, Dominique Duncan, Pedro F. Viana, Giulia Sofia Cereda, Naoto Kuroda, Aristea S. Galanopoulou   +7 more
wiley   +1 more source

Employment of a Least Square Support Vector Regression Model for Predicting the Gasification Process [PDF]

Advances in Engineering and Intelligence Systems
Biomass fuels, with minimal sulfur content, lower ash production, and reduced emissions, offer a reliable alternative to fossil fuels. The global requirements to decrease dependencies on imported energy and conserve fossil reserves highlight the ...
Afshar Shokri, Farzad Hamrang, Mortaza Yari   +2 more
doaj   +1 more source

Design of an Adaptive Neurofuzzy Inference Control System for the Unified Power-Flow Controller [PDF]

, 2011
This paper presents a new approach to control the operation of the unified power-flow controller (UPFC) based on the adaptive neurofuzzy inference controller (ANFIC) concept.
Farrag, Mohamed, Putrus, Ghanim
core   +1 more source

A COVID-19 forecasting system using adaptive neuro-fuzzy inference

Finance Research Letters, 2021
This article proposes an Adaptive Neuro-Fuzzy Inference System (ANFIS) to forecast the number of COVID-19 cases in the United Kingdom. With the combination of artificial neural network and fuzzy logic structure, the model is trained based on collected data.
openaire   +2 more sources

Smart Solar Power Site Selection Through a Hybrid Computational Framework of Neuro‐Fuzzy With Genetic Algorithm Optimization

Energy Science &Engineering, EarlyView.
Solar Power plants at various locations a: Pavagada SPP, Karnataka b: Bhadla SPP, Rajasthan c: West Bengal Solar Park ABSTRACT This paper presents a new neuro‐fuzzy multi‐criteria decision‐making (MCDM) framework designed to optimize the selection of solar power plant (SPP) sites across India.
Rajkumari Malemnganbi Devi, Benjamin A. Shimray, Ingudam Chitrasen Meitei, Khelchandra Thongam, Shuma Adhikari, Anuradha Laishram, Subir Datta, Ahmed Al Mansur, Taha Selim Ustun   +8 more
wiley   +1 more source

Robust Control Using a Matrix Converter to Enhance Wind Turbine Systems

Energy Science &Engineering, EarlyView.
This study uses a more efficient and effective solution to improve the operational performance of a wind turbine‐based power system. This system uses a doubly fed induction generator and relies on a matrix converter and fractional‐order proportional–integral controller.
Sihem Ghoudelbourk, Habib Benbouhenni, Adil Yahdou, Zakaria Mohamed Salem Elbarary, Nicu Bizon   +4 more
wiley   +1 more source

A Soft Computing Approach to Dynamic Load Balancing in 3GPP LTE [PDF]

, 2012
A major objective of the 3GPP LTE standard is the provision of high-speed data services. These services must be guaranteed under varying radio propagation conditions, to stochastically distributed mobile users.
Atayero, A. A., Luka, M. K.
core   +1 more source

Disturbance‐Resilient Voltage/Power‐Quality Management for Islanded Inverters Using Self‐Tuning Type‐3 Fuzzy Controller

Energy Science &Engineering, EarlyView.
An adaptive fuzzy controller using an interval type‐3 fuzzy logic system replaces the SMC switching term to mitigate chattering while preserving global stability for islanded inverters. Simulations show lower THD, greater robustness to disturbances and parameter variations, and improved voltage‐tracking accuracy, with applicability to other uncertain ...
Man‐Wen Tian, Jun‐Bo Mao, Nurkhat Zhakiyev, Didar Yedilkhan, Ruslan Omirgaliyev, Du Changdong, Amirhossein Khosravi Sarvenoee, Ardashir Mohammadzadeh   +7 more
wiley   +1 more source