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matlab toolbox function anfis  (MathWorks Inc)


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    MathWorks Inc matlab toolbox function anfis
    Matlab Toolbox Function Anfis, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 2341 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/matlab's+'anfis'+function/Database+Toolbox/10__1016_slash_j__sciaf__2024__e02195-191-1-1
    Average 96 stars, based on 2341 article reviews
    matlab toolbox function anfis - by Bioz Stars, 2026-10
    96/100 stars

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    Article Title: Adaptive neuro-fuzzy controllers for an open-loop morphing wing system
    Article Snippet: A new method for the realization of two neuro-fuzzy controllers for a morphing wing design application is presented here.. The controllers’ main function is to correlate each set of pressure differences, calculated between the optimized and the reference airfoil, with each of the airfoil deformations produced by the actuators’ system.. The pressures are calculated at different chord positions and will also be measured during wind tunnel tests.

    Generated:

    Article Title: Adaptive neuro-fuzzy controllers for an open-loop morphing wing system
    Article Snippet: A new method for the realization of two neuro-fuzzy controllers for a morphing wing design application is presented here.. The controllers’ main function is to correlate each set of pressure differences, calculated between the optimized and the reference airfoil, with each of the airfoil deformations produced by the actuators’ system.. The pressures are calculated at different chord positions and will also be measured during wind tunnel tests.



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    Standard ANFIS architecture. Number of Story Points and Project Velocity are given as inputs. These inputs have been derived from 21 projects dataset (dataset sample given in Table ). ANFIS based exhaustive search MATLAB functionality has been used to decide the inputs. Different inputs (as feature pairs) tested against Actual Time. The feature pair with minimum error has been chosen in input layer.

    Journal: Scientific Reports

    Article Title: An efficient ANFIS-EEBAT approach to estimate effort of Scrum projects

    doi: 10.1038/s41598-022-11565-2

    Figure Lengend Snippet: Standard ANFIS architecture. Number of Story Points and Project Velocity are given as inputs. These inputs have been derived from 21 projects dataset (dataset sample given in Table ). ANFIS based exhaustive search MATLAB functionality has been used to decide the inputs. Different inputs (as feature pairs) tested against Actual Time. The feature pair with minimum error has been chosen in input layer.

    Article Snippet: ANFIS based exhaustive search MATLAB functionality has been used to decide the inputs.

    Techniques: Derivative Assay