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обучения и использования нейронных сетей был использован deep learning toolbox программной среды matlab r2020a  (MathWorks Inc)


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    MathWorks Inc обучения и использования нейронных сетей был использован deep learning toolbox программной среды matlab r2020a
    обучения и использования нейронных сетей был использован Deep Learning Toolbox программной среды Matlab R2020a, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 801 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    Average 96 stars, based on 801 article reviews
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    обучения и использования нейронных сетей был использован deep learning toolbox программной среды matlab r2020a  (MathWorks Inc)
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    Optimal topology of optimized MAE-assisted SF extracts. Best architecture of a developed MAE-ANN model with the lowest mean square error (MSE) ( A ); The results of Levenberg-Marquardt algorithm with optimum numbers of neurons for best validation performance compared with training, testing and validation data for dependent variables DPPH ( B ) ABTS ( C ), TPC ( D ), and TFC ( E ), and comparison among experiment run (*), RSM (blue line), and ANN (red line) for DPPH ( F ), ABTS ( G ), TPC ( H ), and TFC ( I ) using deep learning toolbox <t>MATLAB</t> software.
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    matlab r2020a  (MathWorks Inc)
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    Optimal topology of optimized MAE-assisted SF extracts. Best architecture of a developed MAE-ANN model with the lowest mean square error (MSE) ( A ); The results of Levenberg-Marquardt algorithm with optimum numbers of neurons for best validation performance compared with training, testing and validation data for dependent variables DPPH ( B ) ABTS ( C ), TPC ( D ), and TFC ( E ), and comparison among experiment run (*), RSM (blue line), and ANN (red line) for DPPH ( F ), ABTS ( G ), TPC ( H ), and TFC ( I ) using deep learning toolbox <t>MATLAB</t> software.
    Matlab R2020a, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    Optimal topology of optimized MAE-assisted SF extracts. Best architecture of a developed MAE-ANN model with the lowest mean square error (MSE) ( A ); The results of Levenberg-Marquardt algorithm with optimum numbers of neurons for best validation performance compared with training, testing and validation data for dependent variables DPPH ( B ) ABTS ( C ), TPC ( D ), and TFC ( E ), and comparison among experiment run (*), RSM (blue line), and ANN (red line) for DPPH ( F ), ABTS ( G ), TPC ( H ), and TFC ( I ) using deep learning toolbox MATLAB software.

    Journal: Antioxidants

    Article Title: Metabolite Profiling of Microwave-Assisted Sargassum fusiforme Extracts with Improved Antioxidant Activity Using Hybrid Response Surface Methodology and Artificial Neural Networking-Genetic Algorithm

    doi: 10.3390/antiox11112246

    Figure Lengend Snippet: Optimal topology of optimized MAE-assisted SF extracts. Best architecture of a developed MAE-ANN model with the lowest mean square error (MSE) ( A ); The results of Levenberg-Marquardt algorithm with optimum numbers of neurons for best validation performance compared with training, testing and validation data for dependent variables DPPH ( B ) ABTS ( C ), TPC ( D ), and TFC ( E ), and comparison among experiment run (*), RSM (blue line), and ANN (red line) for DPPH ( F ), ABTS ( G ), TPC ( H ), and TFC ( I ) using deep learning toolbox MATLAB software.

    Article Snippet: The model was constructed using the deep learning toolbox MATLAB R2020a (Mathworks, Minneapolis, MA, USA).

    Techniques: Biomarker Discovery, Comparison, Software