Results 61 to 70 of about 31,556 (234)

Novel Intelligence ANFIS Technique for Two-Area Hybrid Power System’s Load Frequency Regulation [PDF]

E3S Web of Conferences
The main objective of Load Frequency Control (LFC) is to effectively manage the power output of an electric generator at a designated site, in order to maintain system frequency and tie-line loading within desired limits, in reaction to fluctuations. The
Nireekshana Namburi, Ramachandran R., Narayana G.V.   +2 more
doaj   +1 more source

Designing full-order sliding mode controller based on ANFIS approximator for uncertain nonlinear chaotic systems [PDF]

International Journal of Industrial Electronics, Control and Optimization, 2019
In this paper, a full-order sliding mode controller, based on adaptive neuro-fuzzy inference system is proposed as approximator, for controlling nonlinear chaotic systems in presence of uncertainty.
Khadijeh Akbari, Behrooz Rezaie, Safa Khari   +2 more
doaj   +1 more source

A novel technique for load frequency control of multi-area power systems [PDF]

, 2020
In this paper, an adaptive type-2 fuzzy controller is proposed to control the load frequency of a two-area power system based on descending gradient training and error back-propagation. The dynamics of the system are completely uncertain.
Dokht Shakibjoo, Ali, Moradzadeh, Mohammad, Moussavi, Seyed Zeinolabedin, Vandevelde, Lieven   +3 more
core   +1 more source

Box–Behnken optimization and ANN‐ANFIS integrated modelling for transesterification using thermally activated basic oxygen furnace slag catalyst

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract Global energy demand and environmental concerns have intensified the search for renewable and sustainable energy sources. This study thus, focuses on optimizing the transesterification process of waste cooking oil (WCO) using thermally activated basic oxygen furnace slag catalyst calcined at 850°C (BOF 850). The optimization and modelling were
Johra S. Ali, Hillary L. Rutto
wiley   +1 more source

Prediction of Breast Cancer Metastasis Using Fuzzy Models based on Data from Iranian Breast Cancer Patients

مجله انفورماتیک سلامت و زیست پزشکی, 2020
Introduction: The metastasis of breast cancer, the spread of cancer to different body parts, is considered as one of the most important factors responsible for the majority of deaths caused by breast cancer in women.
Arezou HomaieFasih, Alireza Atashi, Hojjat Ahsani Tehrani   +2 more
doaj  

Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN

Deep Underground Science and Engineering, EarlyView.
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan, Chenxi Yin, Guangdong Yang, Shengyong Ding, Bin Tian   +4 more
wiley   +1 more source

An exTS based Neuro-Fuzzy algorithm for prognostics and tool condition monitoring.

, 2010
International audienceThe growing interest in predictive maintenance makes industrials and researchers turning themselves to artificial intelligence methods for fulfilling the tasks of condition monitoring and prognostics.
Gouriveau, Rafael, Li, Xiang, Massol, Olivier, Peen Gan, Oon, Zhou, Junhong   +4 more
core   +2 more sources

Adaptive neuro-fuzzy inference system-based backcalculation approach to airport pavement structural analysis [PDF]

, 2009
This paper describes the application of adaptive neuro-fuzzy inference system (ANFIS) methodology for the backcalculation of airport flexible pavement layer moduli.
Ceylan, Halil, Ceylan, Halil, Gopalakrishnan, Kasthurirangan   +2 more
core   +3 more sources

Clinical use and radiological yield of magnetic resonance fingerprinting in epilepsy

Epilepsia, EarlyView.
Abstract Objective Magnetic resonance fingerprinting (MRF) is a novel paradigm for magnetic resonance imaging (MRI) that efficiently generates multiparametric quantitative tissue property maps with a single acquisition. Its quantitative nature offers many advantages over conventional MRI.
Maksim Parfyonov, Ting‐Yu Su, Joon Yul Choi, Ingmar Blümcke, Ken Sakaie, Spencer Morris, Hiroatsu Murakami, Andreas Alexopoulos, Imad Najm, Dan Ma, Stephen E. Jones, Zhong Irene Wang   +11 more
wiley   +1 more source

Active multimode vibration control of a smart structure using macro fiber composite actuators based on ANFIS

Journal of Low Frequency Noise, Vibration and Active Control, 2020
In this study, vibration control was achieved using macro fiber composite actuators initiated by feedback from polyvinylidene difluoride (PVDF) membrane sensors.
Wen-Lin Chu, Chih-Jer Lin, Ming-Jia Li
doaj   +1 more source