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adaptive neuro-fuzzy inference system (anfis) toolbox  (MathWorks Inc)


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    MathWorks Inc adaptive neuro-fuzzy inference system (anfis) toolbox
    A simple Simulink program used for building an <t>ANFIS</t> block
    Adaptive Neuro Fuzzy Inference System (Anfis) Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/adaptive neuro-fuzzy inference system (anfis) toolbox/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    adaptive neuro-fuzzy inference system (anfis) toolbox - by Bioz Stars, 2026-04
    90/100 stars

    Images

    1) Product Images from "SimCOVID: Open-Source Simulation Programs for the COVID-19 Outbreak"

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

    Journal: Sn Computer Science

    doi: 10.1007/s42979-022-01441-1

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

    Techniques Used: Blocking Assay

    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)
    Figure Legend 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)

    Techniques Used: Generated

    The developed ANFIS model in Simulink
    Figure Legend Snippet: The developed ANFIS model in Simulink

    Techniques Used:

    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
    Figure Legend 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

    Techniques Used:



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    Image Search Results


    A simple Simulink program used for building an ANFIS block

    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

    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)

    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

    The developed ANFIS model in Simulink

    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:

    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

    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: