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Predicting body fat percentage (BFP) from anthropometric and laboratory measurements using linear regression, feedforward neural networks and support vector machines (using data from NHANES).

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BFPprediction

Predicting body fat percentage (BFP) from anthropometric and laboratory measurements using linear regression, feedforward neural networks and support vector machines (using data from NHANES).

Scripts accompanying the paper titled 'Predicting body fat percentage from anthropometric and laboratory measurements using artificial neural networks' (submitted to Applied Soft Computing).

The paper appeared:

Tamás Ferenci, Levente Kovács. Predicting body fat percentage from anthropometric and laboratory measurements using artificial neural networks. Applied Soft Computing, 2017. DOI: 10.1016/j.asoc.2017.05.063. URL: http://www.sciencedirect.com/science/article/pii/S1568494617303411.

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Predicting body fat percentage (BFP) from anthropometric and laboratory measurements using linear regression, feedforward neural networks and support vector machines (using data from NHANES).

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