Figure 1.

The BP-ANN model used in present study included an input layer with 5 values, which included h, height; m, body weight; y, age; Z, impedances; s, gender; a hidden layer with 5 neurons and an output layer with one neuron. The solid circles represent individual neurons and the lines represent the inputs, outputs and weighted connections between the neurons. n, net input; bij, bias vector; Wij,k, weight matrix; fi, transfer functions; aij, neuron output. The superscript i represents the serial number of layers and the subscripts j and k represent the serial number of the neuron and the input.

Hsieh et al. Nutrition Journal 2013 12:21   doi:10.1186/1475-2891-12-21
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