Hierarchical artificial neural network architecture
R.K. Speer, Wayne E. Moore · 2002
This paper presents a hierarchical artificial neural network (HANN) architecture which is shown to be superior to the traditional three layer feedforward neural network for the neurocontrol of mobile robots in terms of robustness and adaptability with implications for application areas other than robotics.