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multi-layer perceptron  (MathWorks Inc)


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    MathWorks Inc multi-layer perceptron
    Multi Layer Perceptron, 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/multi-layer+perceptron/10__3390_slash_app15031062-90-5-10
    Average 90 stars, based on 1 article reviews
    multi-layer perceptron - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    other:

    Article Title: A Systematic Review of Online Speech Therapy Systems for Intervention in Childhood Speech Communication Disorders
    Article Snippet: Study FF used three types of classifiers to enable speech recognition, namely, a multi-layer perceptron, an SVM and a logistic regression model with the help of MATLAB Toolboxes.

    Article Title: Grasp Pattern Recognition Using Surface Electromyography Signals and Bayesian-Optimized Support Vector Machines for Low-Cost Hand Prostheses
    Article Snippet: In that study, a straightforward multi-layer perceptron was designed in MATLAB and deployed on a GPU.

    Article Title: Understanding auditory distance estimation by humpback whales: a computational approach.
    Article Snippet: Ranging, the ability to judge the distance to a sound source, depends on the presence of predictable patterns of attenuation.. We measured ong-range sound propagation in coastal waters to assess whether humpback whales might use frequency degradation cues to range singing whales. wo types of neural networks, a multi-layer and a single-layer perceptron, were trained to classify recorded sounds by distance traveled based on heir frequency content.. The multi-layer network successfully classified received sounds, demonstrating that the distorting effects of underwater ropagation on frequency content provide sufficient cues to estimate source distance.



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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: