Resolution:
standard / ## 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; b^{i}_{j}, bias vector; W^{i}_{j,k}, weight matrix; f^{i}, transfer functions; a^{i}_{j}, 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 |