Incorporating Prior Knowledge in the Form of Production Rules into Neural Networks Using Boolean-Like Neurons
Experiments of Fast Learning with High Order Boltzmann Machines
Augmenting the Discrimination Power of HMM by NN for On-Line Cursive Script Recognition
The Application of Connectionist Structures to Learning Impedance Control in Robotic Contact Tasks
Learning Structure from Data and Its Application to Ozone Prediction
Symbolical Reasoning about Numerical Data: A Hybrid Approach