Journal: Data in Brief

Article Title: Dataset and ANFIS model prediction of the performance of graphene nano-LPG in domestic refrigerator system

doi: 10.1016/j.dib.2022.108548

Figure Lengend Snippet:

Article Snippet: The ANFIS MATLAB model program can be found in the supplementary file, which is available online.

Techniques: Software

Journal: IEEE Access

Article Title: A Hybrid ANFIS-ABC Based MPPT Controller for PV System With Anti-Islanding Grid Protection: Experimental Realization

doi: 10.1109/access.2019.2931547

Figure Lengend Snippet: Fig. 4. Structure of ANFIS MPPT controller.

Article Snippet: MATLAB/Simulink implemented ANFIS controller interfaced with a real-time dSPACE control board that generates optimal duty ratio for SEPIC converter.

Techniques:

Journal: IEEE Access

Article Title: A Hybrid ANFIS-ABC Based MPPT Controller for PV System With Anti-Islanding Grid Protection: Experimental Realization

doi: 10.1109/access.2019.2931547

Figure Lengend Snippet: Fig. 6. Complete structure of Hybrid ANFIS-ABC control. Fig. 7. Inverter control strategy.

Article Snippet: MATLAB/Simulink implemented ANFIS controller interfaced with a real-time dSPACE control board that generates optimal duty ratio for SEPIC converter.

Techniques: Control

Journal: IEEE Access

Article Title: A Hybrid ANFIS-ABC Based MPPT Controller for PV System With Anti-Islanding Grid Protection: Experimental Realization

doi: 10.1109/access.2019.2931547

Figure Lengend Snippet: Fig. 26. Comparison of RMSE of ANFIS-ABC, ANFIS-PSO and

Article Snippet: MATLAB/Simulink implemented ANFIS controller interfaced with a real-time dSPACE control board that generates optimal duty ratio for SEPIC converter.

Techniques: Comparison

Journal: Scientific Reports

Article Title: Evaluation of sisal fiber and aluminum waste concrete blend for sustainable construction using adaptive neuro-fuzzy inference system

doi: 10.1038/s41598-023-30008-0

Figure Lengend Snippet: ANFIS model structure generated from MATLAB R2020a.

Article Snippet: The ANFIS computation toolbox in MATLAB software was adopted for the model simulation, testing, training and validation of the response function using hybrid method of optimization and grid partition method of FIS at 100 Epochs.

Techniques: Generated

Journal: Sn Computer Science

Article Title: SimCOVID: Open-Source Simulation Programs for the COVID-19 Outbreak

doi: 10.1007/s42979-022-01441-1

Figure Lengend Snippet: A simple Simulink program used for building an ANFIS block

Article Snippet: We can also build a machine-learning program to simulate the same system using the input and output data of the model. Simulink provides the user with an adaptive neuro-fuzzy inference system (ANFIS) toolbox to generate if–then fuzzy rules automatically based on training the given data.

Techniques: Blocking Assay

Journal: Sn Computer Science

Article Title: SimCOVID: Open-Source Simulation Programs for the COVID-19 Outbreak

doi: 10.1007/s42979-022-01441-1

Figure Lengend Snippet: a Training errors for the infectious variable (left) and the cumulative infectious variable (right). b Fuzzy rules generated by ANFIS for the infectious variable (left) and the cumulative infectious variable (right). c Testing data against ANFIS output for the infectious variable (left) and the cumulative infectious variable (right)

Article Snippet: We can also build a machine-learning program to simulate the same system using the input and output data of the model. Simulink provides the user with an adaptive neuro-fuzzy inference system (ANFIS) toolbox to generate if–then fuzzy rules automatically based on training the given data.

Techniques: Generated

Journal: Sn Computer Science

Article Title: SimCOVID: Open-Source Simulation Programs for the COVID-19 Outbreak

doi: 10.1007/s42979-022-01441-1

Figure Lengend Snippet: The developed ANFIS model in Simulink

Article Snippet: We can also build a machine-learning program to simulate the same system using the input and output data of the model. Simulink provides the user with an adaptive neuro-fuzzy inference system (ANFIS) toolbox to generate if–then fuzzy rules automatically based on training the given data.

Techniques:

Journal: Sn Computer Science

Article Title: SimCOVID: Open-Source Simulation Programs for the COVID-19 Outbreak

doi: 10.1007/s42979-022-01441-1

Figure Lengend Snippet: a ANFIS outputs and the reported cases (daily on the left y-axis and cumulative on the right y-axis)—case of China. b Optimized parameters used in building the ANFIS model

Article Snippet: We can also build a machine-learning program to simulate the same system using the input and output data of the model. Simulink provides the user with an adaptive neuro-fuzzy inference system (ANFIS) toolbox to generate if–then fuzzy rules automatically based on training the given data.

Techniques: