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multi-layer perceptron (mlp) model  (MathWorks Inc)


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    MathWorks Inc multi-layer perceptron (mlp) model
    Multi Layer Perceptron (Mlp) Model, 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/mlp+(multi-layer+perceptron)/10__1016_slash_j__mtsust__2024__100845-131-16-6
    Average 90 stars, based on 1 article reviews
    multi-layer perceptron (mlp) model - by Bioz Stars, 2026-09
    90/100 stars

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    Article Title: An efficient estimation of crop performance in sheep fescue ( Festuca ovina L.) using artificial neural network and regression models
    Article Snippet: A “Multi-Layer Perceptron (MLP)” model was constructed and the ANN model was calibrated with the help of MATLAB, R2018a, to build and analyze the efficacy of ANN to forecast the biological yield of sheep fescue .

    Article Title: Artificial neural network approach for predicting the sesame ( Sesamum indicum L.) leaf area: A non-destructive and accurate method
    Article Snippet: The development of MLP (Multi-Layer-Perceptron) networks was used by the Neural Network Toolbox of the Matlab software (version 9.13), a backpropagation algorithm with Levemberg-Marquadt optimization.

    Article Title: Decoding in the Fourth Dimension: Classification of Temporal Patterns and Their Generalization Across Locations
    Article Snippet: Specifically, we selected the LDA, SVM and multi-layer perceptron (MLP) algorithms 15 implemented in MATLAB environment.

    Article Title: Tailored transition metal-doped TiO2@Fe3O4 nanohybrids for efficient photocatalytic dye removal: Optimization via neural networks and response surface approaches
    Article Snippet: The study focused on predicting the degradation of Remazol Turquoise Blue (RTB) dye using a photocatalyst comprised of transition metal-doped TiO2@Fe3O4.. Out of the transition metal ions considered, namely Cu, Cr, Co, and Ni, Cr emerges as the most effective dopant for TiO2@Fe3O4 nanohybrid photocatalysts.. This optimal performance was achieved with a catalyst loading of 50 mg and a dye concentration of 10 ppm within a 1-h reaction time, resulting in a photocatalytic efficiency of 96.70%.

    Article Title: Insightful properties-performance study of Ti-Cu-O heterojunction sonochemically embedded in mesoporous silica matrix for efficient tetracycline adsorption and photodegradation: RSM and ANN-based modeling and optimization.
    Article Snippet: This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record.. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article.. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

    Article Title: An adaptive fuzzy logic control of green tea fixation process based on image processing technology
    Article Snippet: Cheng Chen , Benying Liu , Feihu Song , Jianjun Jiang , Zhenfeng Li , Chunfang Song , Jing Li , Guangyuan Jin , Jincheng Wu b a Faculty of Management and Economics, Kunming University of Science and Technology, Kunming, Yunnan, 650033, PR China b Jiangsu Key Laboratory of Advanced Food Manufacturing Equipment & Technology, School of Mechanical Engineering, Jiangnan University, Wuxi, Jiangsu, 214122, PR China c Yunnan Provincial Key Laboratory of Tea Science, Institute of Tea, Yunnan Academy of Sciences, Menghai, Yunnan, 666301, PR China

    Article Title: Prediction of tailgate stability in mechanized longwall mines using an improved support vector regression model
    Article Snippet: Tailgate stability in a mechanized longwall mine is serious to mine productivity and personnel’s safety.. Although the stability of both roadways is critical in longwall mining, the tailgate is subjected to higher stresses and deformations than the other one.. Therefore, the prediction of tailgate stability is a distinctive challenge in mechanized coal mining to ensure its functionality during mining operations.

    Expressing:

    Article Title: Study of antibacterial and mechanical properties of poly(<scp>methyl methacrylate‐co‐acrylic acid</scp>)/hydroxyapatite biocomposite by using artificial neural network approach
    Article Snippet: .. The swelling percentage (%) was determined by using the following expression, given below:25,26 %S1⁄4 WW Wdð Þ Wd 100: 2.4.8 | ANN model To stimulate the mechanical characteristics of the composites, multi-layer perceptron (MLP) ANN models were generated using the MATLAB R2022a (Math Works) software. ..

    Generated:

    Article Title: Study of antibacterial and mechanical properties of poly(<scp>methyl methacrylate‐co‐acrylic acid</scp>)/hydroxyapatite biocomposite by using artificial neural network approach
    Article Snippet: .. The swelling percentage (%) was determined by using the following expression, given below:25,26 %S1⁄4 WW Wdð Þ Wd 100: 2.4.8 | ANN model To stimulate the mechanical characteristics of the composites, multi-layer perceptron (MLP) ANN models were generated using the MATLAB R2022a (Math Works) software. ..

    Software:

    Article Title: Study of antibacterial and mechanical properties of poly(<scp>methyl methacrylate‐co‐acrylic acid</scp>)/hydroxyapatite biocomposite by using artificial neural network approach
    Article Snippet: .. The swelling percentage (%) was determined by using the following expression, given below:25,26 %S1⁄4 WW Wdð Þ Wd 100: 2.4.8 | ANN model To stimulate the mechanical characteristics of the composites, multi-layer perceptron (MLP) ANN models were generated using the MATLAB R2022a (Math Works) software. ..



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    Examples of the performance of AI models for cardiovascular disease. This table shows examples of AI models commonly used for cardiovascular disease and their representative performance in the literature.

    Journal: Biomedicines

    Article Title: The Heart of Transformation: Exploring Artificial Intelligence in Cardiovascular Disease

    doi: 10.3390/biomedicines13020427

    Figure Lengend Snippet: Examples of the performance of AI models for cardiovascular disease. This table shows examples of AI models commonly used for cardiovascular disease and their representative performance in the literature.

    Article Snippet: Bhat et al. [ ] , Kaggle , Multi-Layer Perceptron (MLP) , 87.28% accuracy.

    Techniques: