Results 131 to 140 of about 6,025 (187)

Optimizing adaptive neuro-fuzzy inference system model based Chaotic Harris Hawks algorithm for stock prediction. [PDF]

Sci Rep
Mohamed ZE, Refaie Ali A, Dabour W.
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Application of Taguchi Grey-Based ANFIS model for prediction of process parameters in fused deposition modelling of PETG. [PDF]

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Thejasree P, Manikandan N, Rajesh N, Lokanadham R, Krishnamachary PC, Shubham K, Olaiya BC.   +6 more
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AI enhanced optimization of college physical education programs using hybrid genetic algorithms and learning based fitness evaluation. [PDF]

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Wang X, Sun W.
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Approximation of cumulative infiltration of soils in arid and semi-arid regions. [PDF]

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Vashisth A, Esmaeilbeiki F, Singh V, Sihag P.   +3 more
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Enhanced significant wave height prediction in the Southern Ocean using an ANFIS model optimized with subtractive clustering. [PDF]

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Hakimi A, Farjami H.
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Optimized PV fed sensorless BLDC motor control system using Q-recurrent adaptive controller and Levy-enhanced circular search mechanisms. [PDF]

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Tadivalasa V, Biswas PK, Das U, Thanikanti SB, Selvarajan S.   +4 more
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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 ...
Morteza Asghari, Amir Dashti
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 ...
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Parametric Analysis of ANFIS, ANFIS-PSO, and ANFIS-GA Models for the Prediction of Aluminum Surface Roughness in End-Milling Operation

Volume 2B: Advanced Manufacturing, 2022
Abstract Milling is one of the old and common cutting processes that utilize rotating tools to take materials off the main component with a combination of tools and workpiece movements. The texture of a machined surface is a key factor in defining how an essential component interacts with its environment.
Serge Balonji, Imhade Princess Okokpujie, Lagouge Tartibu   +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
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