Pao-Kuan Wu

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This article offers a hybrid computational approach that combines an artificial neural network with Bayesian probability to improve on the conventional artificial neural network model. The artificial neural network model, which is renowned for its pattern classification abilities, is a type of deterministic algorithm. However, combining artificial neural(More)
The boom of gaming industry in Southeast Asia has resulted in the increase of large-scale tourism casinos and small and medium casinos. Manually managing the revenue and the members of casinos are considered insufficient but the costs and the maintenance for large-scale systems are abundant that lots of small and medium casinos still adopt manual(More)
This paper discusses how to apply a hybrid computation process comprised by three techniques of Artificial Neural Network (ANN), Bayesian probability and Cellular Automata (CA), to establish simulating model which can embody the advantages of perceptron, stochastic and dynamic. Through our hybrid computation process, we can perform a series of dynamic(More)
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