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scaled conjugate gradient descent algorithm  (MathWorks Inc)


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    MathWorks Inc scaled conjugate gradient descent algorithm
    Scaled Conjugate Gradient Descent Algorithm, 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/gradient-descent+algorithm/pmc11274965-134-8-6
    Average 90 stars, based on 1 article reviews
    scaled conjugate gradient descent algorithm - by Bioz Stars, 2026-09
    90/100 stars

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    Article Title: Integration of machine learning with neutron scattering for the Hamiltonian tuning of spin ice under pressure
    Article Snippet: To find the model parameters that minimize L, we have used the scaled conjugate gradient descent algorithm, both in MATLAB and and Keras33, a deep learning API written in Python.

    Article Title: Machine-learning-assisted insight into spin ice Dy 2 Ti 2 O 7
    Article Snippet: To find the model parameters that minimize \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\cal{L}}$$\end{document} L , we use the scaled conjugate gradient descent algorithm , as it is implemented in Matlab.

    Article Title: Spectral Variability Aware Blind Hyperspectral Image Unmixing Based on Convex Geometry
    Article Snippet: Using the fact that the constraint set has a Riemannian manifold structure for which a retraction mapping can be easily found, we perform a conjugate gradient descent on the oblique manifold [54] (we use the Manopt toolbox for MATLAB [55]– also available in Python).

    Biomarker Discovery:

    Article Title: Motor Intentions Decoded from fMRI Signals
    Article Snippet: .. The neural network was trained using MATLAB’s scaled conjugate gradient descent algorithm in combination with early validation to improve generalization. ..

    Article Title: Decoding upper limb residual muscle activity in severe chronic stroke
    Article Snippet: .. The MLPs were trained using MATLAB’s scaled conjugate gradient descent algorithm in combination with early validation to improve generalization i.e. the ability of the MLP to classify data that it was not trained on. ..

    Article Title: Decoding of Individuated Finger Movements Using Surface Electromyography
    Article Snippet: Upper limb prostheses are increasingly resembling the limbs they seek to replace in both form and functionality, including the design and development of multifingered hands and wrists.. Hence, it becomes necessary to control large numbers of degrees of freedom (DOFs), required for individuated finger movements, preferably using noninvasive signals.. While existing control paradigms are typically used to drive a single-DOF hook-based configurations, dexterous tasks such as individual finger movements would require more elaborate control schemes.



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