continuous_time_identification (Burgers) #28
Description
Why do you use exp for lambda_2
def net_f(self, x, t): lambda_1 = self.lambda_1 lambda_2 = tf.exp(self.lambda_2) u = self.net_u(x,t) u_t = tf.gradients(u, t)[0] u_x = tf.gradients(u, x)[0] u_xx = tf.gradients(u_x, x)[0] f = u_t + lambda_1*u*u_x - lambda_2*u_xx