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nftool toolbox  (MathWorks Inc)


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    MathWorks Inc nftool toolbox
    Nftool 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/nftool+toolbox/10__1016_slash_j__rineng__2025__104895-190-5-4
    Average 90 stars, based on 1 article reviews
    nftool toolbox - by Bioz Stars, 2026-09
    90/100 stars

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    Article Title: Optimizing the core loading pattern and fuel composition in a hexagonal small modular nuclear reactor via ANN-PSO approach
    Article Snippet: Small Modular Reactors (SMRs), such as the NuScale Power Module (NPM), have gained considerable attention in recent years.. However, significant efforts are needed to enhance safety.. The utilization of hexagonal Fuel Assemblies (FAs) offers numerous benefits from both neutronic and thermal-hydraulic perspectives.

    Article Title: Quantitative structure activity relationship and docking studies of imidazole-based derivatives as P-glycoprotein inhibitors
    Article Snippet: The aim of this study is to explore a quantitative structure–activity relationship (QSAR) of a set of potent imidazole-based P-gp inhibitors by different chemometric methods to predict activity of compounds.. A dataset of 51 imidazole-based derivatives of P-glycoprotein (P-gp) inhibitors was collected from the literature.. QSAR study of studied compounds was performed by linear model, i.e., multiple linear regression, and non-linear models, i.e., support vector machines and artificial neural network (ANN) using Dragon descriptors.

    Article Title: Generalized Global Self-Optimizing Control for Chemical Processes Part I. The Existence of Perfect Controlled Variables and Numerical Design Methods
    Article Snippet: The nftool toolbox in Matlab is invoked, using the Levenberg-Marquardt backpropagation algorithm.


    Article Title: Independent parallel pyrolysis kinetics of model components in sewage sludge analyzed by BPM neural network.
    Article Snippet: Analyzing the kinetic behavior of sewage sludge pyrolysis is essential for the design of efficient reactors to produce biofuel and syngas.. To understand the complex pyrolysis process of sewage sludge, we pyrolyzed six model components (i.e., cellulose, hemicellulose, lignin, protein, soluble sugars, and lipid) using a thermogravimetric analyzer.. The effects of the heating rate on the pyrolysis process were examined at four different heating rates (5, 15, 25, and 50 °C/min).

    Control:

    Article Title: Reactive power control in decentralized hybrid power system with STATCOM using GA, ANN and ANFIS methods
    Article Snippet: In this paper, STATCOM performance for voltage–reactive power control is investigated by comparing different tuning methods, used to evaluate gain parameters of STATCOM controller in presence of high probabilistic uncertainty in input wind power and reactive power load demand.. To control voltage transient response in least time, reactive power demand is managed by STATCOM.. The conventional methods for tuning gain parameters of STATCOM controller do not satisfactorily operate in case of random disturbances and therefore, advanced controllers such as Genetic Algorithm (GA), Artificial Neural Network (ANN) and Adaptive Neuro Fuzzy Inference System (ANFIS) are required.



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    Figure 21. Structure of ANN used <t>in</t> <t>MATLAB</t> (w = weight; b = bias).
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    Figure 21. Structure of ANN used in MATLAB (w = weight; b = bias).

    Journal: Polymers

    Article Title: Short-Beam Shear Strength of New-Generation Glass Fiber-Reinforced Polymer Bars Under Harsh Environment: Experimental Study and Artificial Neural Network Prediction Model.

    doi: 10.3390/polym16233358

    Figure Lengend Snippet: Figure 21. Structure of ANN used in MATLAB (w = weight; b = bias).

    Article Snippet: In the final testing phase, a separate test subset is used to objecti l of t e fully trained model. For this study, the neural network toolbox in MATLAB (“nftool”) was employ d t develop a feed-forward back-propagation model using the Bay sian regularization algorithm.

    Techniques: