“…According to Eq. (16), a new parameter i k E can be defined as the RSE for input unit i on output unit k[20,22].Definition of RSE: For a given sample set S={s 1 , s 2 , s 3 , …, s j , …, s r } where S j ={X, Y}, X={x 1 , x 2 , x 3 , …, x p }, Y={y 1 , y 2 , y 3 , …, y p }, if there is a neural network trained by back-propagation algorithm with this set of samples,…”