Results 51 to 60 of about 55,481 (267)
Performance Evaluation of ANFIS and GA-ANFIS for Predicting Stock Market Indices
International Journal of Economics and Finance, 2021 A model of Adaptive Neuro-Fuzzy Inference System (ANFIS) trained with an evolutionary algorithm, namely Genetic Algorithm (GA) is presented in this paper. Further, the model is tested on the NASDAQ stock market indices which is among the most widely followed indices in the United States.
Farnaz Ghashami, Kamyar Kamyar
openaire +2 more sources
Automatika, 2018 Electroencephalogram (EEG) is the recording of electrical activities of the brain. It is contaminated by other biological signals, known as artefacts.
S. Suja Priyadharsini, S. Edward Rajan
doaj +1 more source
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. +2 more
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Modelling of Nicotiana Tabacum L. Oil Biodiesel Production: Comparison of ANN and ANFIS
, 2021 Among the modern computational techniques, the Artificial Neural Network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS) are preferred because of their ability to deal with non-linear modeling and complex stochastic dataset.
O. Samuel +5 more
semanticscholar +1 more source
Estimation of pile settlement socketed to rock applying hybrid ALO-ANFIS and GOA-ANFIS approaches
Journal of Applied Science and Engineering, 2022 Pile settlement (SP) socketed to rock has received substantial attention. Despite introducing some design methods of SP prediction, considering the novel and practical predicting model with satisfactory performance is pivotal.
Dai Yu
doaj +1 more source
Comparative Prediction of Groundwater Fluctuation by CWTFT-ANFIS and WT-ANFIS
Indian Journal of Science and Technology, 2016 Objective: To evaluate the ability of prediction performance of ANFIS (Adaptive Neuro Fuzzy Inference System) model on groundwater level fluctuation in Lower Bhavani River Basin (LBRB). Method: To improve the accuracy of prediction of ANFIS model, WT (Wavelet Transform) and CWTFT (Continuous Wavelet Fast Fourier Transform) are performed as ...
N. Vetrivel, K. Elangovan
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PSO-ANFIS-Based Energy Management in Hybrid AC/DC Microgrid along with Plugin Electric Vehicle
International Journal of Photoenergy, 2023 This study proposes a hybrid AC/DC microgrid with plugin EVs, leveraging PSO-tuned ANFIS for voltage and power control. With the existing control, which faced challenges such as instability and complexity, the proposed approach is aimed at simplifying ...
V. Ashokkumar, C. B. Venkatramanan
doaj +1 more source
Control de tráfico vehicular usando ANFIS Vehicular traffic control using ANFIS
Ingeniare: Revista Chilena de Ingeniería, 2012 Diferentes estrategias para el control del tráfico urbano se han presentado a lo largo del tiempo. Este artículo presenta el diseño de un modelo de tráfico vehicular, el cual examina el tráfico existente en una vía a través de una serie de semáforos.
Luis Fernando Pedraza +2 more
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A comparison of fuzzy approaches to e-commerce review rating prediction [PDF]
, 2015 This paper presents a comparative analysis of the performance of fuzzy approaches on the task of predicting customer review ratings using a computational intelligence framework based on a genetic algorithm for data dimensionality reduction.
Acampora, G, Cosma, G
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Optimal Gasoline Price Predictions: Leveraging the ANFIS Regression Model
International Journal of Intelligent SystemsThis study presents an in-depth analysis of gasoline price forecasting using the adaptive network-based fuzzy inference system (ANFIS), with an emphasis on its implications for policy-making and strategic decisions in the energy sector.
E. Eliwa +3 more
semanticscholar +1 more source