Results 211 to 220 of about 40,966 (267)

Predicting Pregnant Women's Abortion: Artificial Neural Network, Wavelet Neural Network and Adaptive Neural Fuzzy Inference System. [PDF]

Adv Biomed Res
Hashemian AH, Mahaki B, Rezaei M, Solouki L, Sohrabi Cheqabaleki MA, Sohrabi Cheqabaleki S.   +5 more
europepmc   +1 more source

Improving performance of electric vehicle drive system based a five-phase PMSM under fault using ANN and MPC. [PDF]

Sci Rep
Hassan AM, Metwally ME.
europepmc   +1 more source

Research on Adaptive Variable Impedance Control Method Based on Adaptive Neuro-Fuzzy Inference System. [PDF]

Sensors (Basel)
Wang X, Li C, Cai D, Cui Y.
europepmc   +1 more source

Expression of concern: "The nexus between quality of customer relationship management systems and customers' satisfaction: Evidence from online customers' reviews" [Heliyon 9 (2023) e21828]. [PDF]

Heliyon
europepmc   +1 more source

Optimization of the HEC-RAS Based Flood Inundation Mapping using Adaptive Neuro- Fuzzy Inference System: A case study of Olkeriai River Basin, Kenya

Bore E, Otieno AK, Kimwatu DM, Kiptala JK.   +3 more
europepmc   +1 more source

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H2-selective mixed matrix membranes modeling using ANFIS, PSO-ANFIS, GA-ANFIS

International Journal of Hydrogen Energy, 2017
Abstract The novel contribution of the current study is to employ adaptive neuro-fuzzy inference system (ANFIS) for evaluation of H2-selective mixed matrix membranes (MMMs) performance in various operational conditions. Initially, MMMs were prepared by incorporating zeolite 4A nanoparticles into polydimethylsiloxane (PDMS) and applied in gas ...
Mashallah Rezakazemi, Amir Dashti, Morteza Asghari   +2 more
exaly   +2 more sources

Modeling the electrical properties of heterojunctions using ANFIS, ANFIS-GA and ANFIS-PSO Models

Physica Scripta, 2023
Abstract The present research introduces a theoretical study that aims to utilize ANFIS in estimating and predicting the electrical behavior of heterojunctions. For this purpose, five different heterojunctions were chosen. The experimental datasets that represent the electrical behavior of the chosen heterojunctions were extracted and ...
openaire   +1 more source

Modified ANFIS architecture - improving efficiency of ANFIS technique

7th Seminar on Neural Network Applications in Electrical Engineering, 2004. NEUREL 2004. 2004, 2005
Adaptive neuro-fuzzy inference systems (ANFIS), fusing the capabilities of artificial neural networks and fuzzy inference systems, offer a lot of space for solving different kinds of problems, and are especially efficient in the domain of signal prediction. However, the ANFIS technique is sometimes notated as being computationally expensive. The paper,
B.B. Jovanovic, I.S. Reljin, B.D. Reljin
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Estimating Evaporation Using ANFIS

Journal of Irrigation and Drainage Engineering, 2006
Water resources engineering assessment requires simple but effective evaporation estimation procedures, especially from readily measurable meteorological factors. Unfortunately, such approaches are rather scarce in the literature. In this paper, an adaptive neural-based fuzzy inference system (ANFIS) was applied to daily meteorology data from the Lake ...
KESKİN, Mustafa Erol, TAYLAN, Emine Dilek, Terzi, Özlem   +2 more
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Comparison of extreme-ANFIS and ANFIS networks for regression problems

2014 IEEE International Advance Computing Conference (IACC), 2014
This paper compares the performance of conventional adaptive network based fuzzy inference system (ANFIS) network and extreme-ANFIS on regression problems. ANFIS networks incorporate the explicit knowledge of the fuzzy systems and learning capabilities of neural networks.
Pushpak Jagtap, G. N. Pillai
openaire   +1 more source