Non-invasive regional cerebral blood flow quantification in the 123I-IMP autoradiography using artificial neural network
Fig 4
Our proposed artificial neural network model consisted of a 28-item input layer and 3 hidden layers with 3, 32, and 9 nodes, respectively.
The activation functions defined the log-sigmoid transfer function between hidden layers 1 and 2, the hyperbolic tangent function between hidden layers 2 and 3, and the log-sigmoid transfer function between hidden layer 3 and the output layer.