Kai-Chung Cheng

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Neural network applications to aircraft automatic landing control are presented. Conventional automatic landing systems (ALSs) can provide a smooth landing, which is essential to the comfort of passengers. However, these systems work only within a specified operational safety envelope. When the conditions are beyond the envelope, such as turbulence or wind(More)
This paper proposes a two-stage speech recognition system based on hidden Markov model (HMM) and back-propagation neural network (BPNN) for home service robot. Since a home service robot would interact with different users, a speaker independent and robust system should be developed. The recognition system we proposed contains two learning stages to build(More)
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