Watershed rainfall forecasting using neuro-fuzzy networks with the assimilation of multi-sensor information [PDF]
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
Performance Evaluation of ANFIS and GA-ANFIS for Predicting Stock Market Indices
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
PSO-ANFIS-Based Energy Management in Hybrid AC/DC Microgrid along with Plugin Electric Vehicle
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
Determining the Necessity and Timing of Controlled Islanding in Power System: a wide-area intelligent-based method [PDF]
The present study introduces a new extensive-area ANFIS (Adaptive Neuro-Fuzzy Interface System)-based method to detect wide area instability and control the time of controlled islanding execution within power systems.
Hojatolah Makvandi +2 more
doaj +1 more source
A Soft Computing Approach to Dynamic Load Balancing in 3GPP LTE [PDF]
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
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
Building Fuzzy Elevation Maps from a Ground-based 3D Laser Scan for Outdoor Mobile Robots [PDF]
Mandow, A; Cantador, T.J.; Reina, A.J.; Martínez, J.L.; Morales, J.; García-Cerezo, A. "Building Fuzzy Elevation Maps from a Ground-based 3D Laser Scan for Outdoor Mobile Robots," Robot2015: Second Iberian Robotics Conference, Advances in Robotics, (2016)
A Birk +15 more
core +1 more source
Comparative Prediction of Groundwater Fluctuation by CWTFT-ANFIS and WT-ANFIS
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
openaire +1 more source
Optimal Gasoline Price Predictions: Leveraging the ANFIS Regression Model
This 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
Control de tráfico vehicular usando ANFIS Vehicular traffic control using ANFIS
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
openaire +2 more sources

