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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/product/adaptive+neuro-fuzzy+inference+system+(anfis)+toolbox/pmc09580422-162-28-21
    Average 90 stars, based on 1 article reviews
    adaptive neuro-fuzzy inference system (anfis) toolbox - by Bioz Stars, 2026-09
    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:

    Related Articles

    other:

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

    Article Title: Knowledge-Based Intelligent Information and Engineering Systems
    Article Snippet: Existing approaches for salesperson recruitment primarily rely on interviews.. Some organizations also include personality testing based on psychometric techniques.. The high turnover of salesperson in the industry suggests limited success of these procedures.

    Article Title: Data-Driven Control Techniques for Renewable Energy Conversion Systems: Wind Turbine and Hydroelectric Plants
    Article Snippet: Moreover, the fuzzy model structure, i.e., the number of rules, the antecedents, the consequents and the fuzzy membership functions are estimated by means of the Adaptive Neuro-Fuzzy Inference System (ANFIS) toolbox implemented in the Simulink environment (R2018b, MathWorksr, Natick, MA, USA) [21].

    Generated:

    Article Title: Distributed Battery Energy Storage Co-Operation for Renewable Energy Sources Integration
    Article Snippet: .. Fuzzy experts’ structure after training, generated by the Adaptive Neuro-Fuzzy Inference System (ANFIS) toolbox, MATLAB [34]. ..



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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: