Fig. 1
From: Feed-forward neural network model for hunger and satiety related VAS score prediction
A multilayer feed-forward neural network. A multilayer feed-forward neural network consisting of an input layer, an output layer, and a hidden layer. A weighted and biased input is non-linearly transferred with a log-sigmoid function by the hidden layer as an input for the next layer which again is weighted, and biased and non-linearly transferred to the output. Input U, weights w1 and w2, and output Y are multicomponent vectors, while biases b1 and b2 are scalar