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guis stanford tree v1 0 1 matlab  (MathWorks Inc)


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    MathWorks Inc guis stanford tree v1 0 1 matlab
    Guis Stanford Tree V1 0 1 Matlab, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 344 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/guis stanford tree v1 0 1 matlab/product/MathWorks Inc
    Average 96 stars, based on 344 article reviews
    guis stanford tree v1 0 1 matlab - by Bioz Stars, 2026-03
    96/100 stars

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    Image Search Results


    ANFIS controller structure with two inputs .

    Journal: Heliyon

    Article Title: Integer PI, fractional PI and fractional PI data trained ANFIS speed controllers for indirect field oriented control of induction motor

    doi: 10.1016/j.heliyon.2024.e37822

    Figure Lengend Snippet: ANFIS controller structure with two inputs .

    Article Snippet: Then the first step is to import the training and checking data pairs into the MATLAB toolbox's anfis GUI, the second stage is to determine the number and type of input and output membership functions as well as the amount of epoch numbers (initialization).

    Techniques:

    ANFIS controller's input and output.

    Journal: Heliyon

    Article Title: Integer PI, fractional PI and fractional PI data trained ANFIS speed controllers for indirect field oriented control of induction motor

    doi: 10.1016/j.heliyon.2024.e37822

    Figure Lengend Snippet: ANFIS controller's input and output.

    Article Snippet: Then the first step is to import the training and checking data pairs into the MATLAB toolbox's anfis GUI, the second stage is to determine the number and type of input and output membership functions as well as the amount of epoch numbers (initialization).

    Techniques:

    IFOC speed control of induction motor using ANFIS control strategy.

    Journal: Heliyon

    Article Title: Integer PI, fractional PI and fractional PI data trained ANFIS speed controllers for indirect field oriented control of induction motor

    doi: 10.1016/j.heliyon.2024.e37822

    Figure Lengend Snippet: IFOC speed control of induction motor using ANFIS control strategy.

    Article Snippet: Then the first step is to import the training and checking data pairs into the MATLAB toolbox's anfis GUI, the second stage is to determine the number and type of input and output membership functions as well as the amount of epoch numbers (initialization).

    Techniques: Control

    Proposed ANFIS controller's architecture.

    Journal: Heliyon

    Article Title: Integer PI, fractional PI and fractional PI data trained ANFIS speed controllers for indirect field oriented control of induction motor

    doi: 10.1016/j.heliyon.2024.e37822

    Figure Lengend Snippet: Proposed ANFIS controller's architecture.

    Article Snippet: Then the first step is to import the training and checking data pairs into the MATLAB toolbox's anfis GUI, the second stage is to determine the number and type of input and output membership functions as well as the amount of epoch numbers (initialization).

    Techniques:

    ANFIS testing using checking data.

    Journal: Heliyon

    Article Title: Integer PI, fractional PI and fractional PI data trained ANFIS speed controllers for indirect field oriented control of induction motor

    doi: 10.1016/j.heliyon.2024.e37822

    Figure Lengend Snippet: ANFIS testing using checking data.

    Article Snippet: Then the first step is to import the training and checking data pairs into the MATLAB toolbox's anfis GUI, the second stage is to determine the number and type of input and output membership functions as well as the amount of epoch numbers (initialization).

    Techniques:

    Details of the proposed ANFIS.

    Journal: Heliyon

    Article Title: Integer PI, fractional PI and fractional PI data trained ANFIS speed controllers for indirect field oriented control of induction motor

    doi: 10.1016/j.heliyon.2024.e37822

    Figure Lengend Snippet: Details of the proposed ANFIS.

    Article Snippet: Then the first step is to import the training and checking data pairs into the MATLAB toolbox's anfis GUI, the second stage is to determine the number and type of input and output membership functions as well as the amount of epoch numbers (initialization).

    Techniques:

    FPI, IPI, and ANFIS controller responses without load torque.

    Journal: Heliyon

    Article Title: Integer PI, fractional PI and fractional PI data trained ANFIS speed controllers for indirect field oriented control of induction motor

    doi: 10.1016/j.heliyon.2024.e37822

    Figure Lengend Snippet: FPI, IPI, and ANFIS controller responses without load torque.

    Article Snippet: Then the first step is to import the training and checking data pairs into the MATLAB toolbox's anfis GUI, the second stage is to determine the number and type of input and output membership functions as well as the amount of epoch numbers (initialization).

    Techniques:

    Performance comparisons of controllers without load torque.

    Journal: Heliyon

    Article Title: Integer PI, fractional PI and fractional PI data trained ANFIS speed controllers for indirect field oriented control of induction motor

    doi: 10.1016/j.heliyon.2024.e37822

    Figure Lengend Snippet: Performance comparisons of controllers without load torque.

    Article Snippet: Then the first step is to import the training and checking data pairs into the MATLAB toolbox's anfis GUI, the second stage is to determine the number and type of input and output membership functions as well as the amount of epoch numbers (initialization).

    Techniques: Comparison

    Controllers response for rotor resistance variation (a) ANFIS, (b) FPI, (c) IPI.

    Journal: Heliyon

    Article Title: Integer PI, fractional PI and fractional PI data trained ANFIS speed controllers for indirect field oriented control of induction motor

    doi: 10.1016/j.heliyon.2024.e37822

    Figure Lengend Snippet: Controllers response for rotor resistance variation (a) ANFIS, (b) FPI, (c) IPI.

    Article Snippet: Then the first step is to import the training and checking data pairs into the MATLAB toolbox's anfis GUI, the second stage is to determine the number and type of input and output membership functions as well as the amount of epoch numbers (initialization).

    Techniques: