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neural network toolbox in matlab software 2017a  (MathWorks Inc)


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    MathWorks Inc neural network toolbox in matlab software 2017a
    Neural Network Toolbox In Matlab Software 2017a, 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/network+software/pmc12187992-152-1-5
    Average 90 stars, based on 1 article reviews
    neural network toolbox in matlab software 2017a - by Bioz Stars, 2026-10
    90/100 stars

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    Related Articles

    other:

    Article Title: Prediction of Final Rolling Temperature for TiAl Alloy Hot Rolling Based on Machine Learning.
    Article Snippet: The selection of input parameters for the neural network was meticulously conducted using Matlab software, ensuring that the model incorporates the most relevant variables influencing the rolling process.

    Article Title: Research on scraper conveyor load prediction method based on wavelet transform and BP neural network.
    Article Snippet: Modeling of DWT-BP scraper conveyor load current prediction Based on MATLAB software, a DWT-BP neural network prediction model is established for the short-term current prediction problem of scraper conveyor asynchronous motor to carry out simulation experimental research.

    Article Title: Performance analysis of a neuromodel for breast histopathology decision support system
    Article Snippet: The neural network was developed, trained and tested in the MATLAB software computing environment.

    Article Title: Modeling 6(10)-35 kV electrical network for fault location via negative correlation
    Article Snippet: 14, No. 1, February 2025: 60-72 A working model of the network under study was formed in the Simulink program (MATLAB software) at this stage of modeling.

    Software:

    Article Title: Metaheuristics Algorithm-Based Optimization for High Conductivity and Hardness CuNi 2 Si 1 Alloy.
    Article Snippet: .. Implementation of the model involved use of the MATLAB Neural Network Toolbox software tool. ..

    Article Title: A machine learning computational approach for the mathematical anthrax disease system in animals.
    Article Snippet: .. The software for the neural network is used MATLAB R2019a, while the dataset is calculated in Mathematica13.3 software. ..

    Article Title: Synergistic coupling of ultrasonic cavitation with tailored deep eutectic solvent systems for intensified extraction of Scutellaria Radix flavonoids: Modelling and optimization by genetic algorithm
    Article Snippet: .. In this study, a backpropagation algorithm combined with the Levenberg–Marquardt (LM) algorithm was utilized to develop a multilayer perceptron (MLP) architecture for a feed-forward neural network, implemented in MATLAB R2016b software. ..

    Article Title: Evaluating Biomechanical and Viscoelastic Properties of Masticatory Muscles in Temporomandibular Disorders: A Patient-Centric Approach Using MyotonPRO Measurements.
    Article Snippet: .. The data obtained were subsequently processed using anatomical network software (written in Matlab R2022b, based on ANETomy®). ..



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    Image Search Results


    Image is a direct output of the VSBONE BSI clinical computer-aided diagnosis (CAD) software (Nihon Medi-Physics Co., Ltd., Tokyo, Japan), displaying actual bone scintigraphy images of a 61-year-old patient with hepatocellular carcinoma. BSI: Bone Scan Index; HSn: hotspot number.

    Journal: Cureus

    Article Title: Evaluating the Impact of Sex-Specific Artificial Intelligence on Bone Metastasis Detection: VSBONE Bone Scan Index (BSI) Version 2.1 Versus Version 3.0

    doi: 10.7759/cureus.106562

    Figure Lengend Snippet: Image is a direct output of the VSBONE BSI clinical computer-aided diagnosis (CAD) software (Nihon Medi-Physics Co., Ltd., Tokyo, Japan), displaying actual bone scintigraphy images of a 61-year-old patient with hepatocellular carcinoma. BSI: Bone Scan Index; HSn: hotspot number.

    Article Snippet: Image analysis using computer-aided diagnosis (CAD) software Data analyses were performed using the deep learning neural network (trained) computer-aided diagnosis software VSBONE BSI (Nihon Medi-Physics, Tokyo, Japan) [ ].

    Techniques: Biomarker Discovery, Software