Abstract:Neural networks (NN) rely on the inner structure of available data sets rather than on comprehension of the modeled processes between inputs and outputs. Therefore neural networks have been regarded as highly empirical models with limited extrapolation capability to situations outside the range of the training and validation data sets. With rice tillering as an example, the back-propagation artificial neural networks are established to simulate the rice tillering dynamics and to compare with statistical mod...