A neural production system and its application in visual-guided mobile robot navigation

A neural production system architecture is proposed where rules are represented by symbolic expressions and neural networks. These neural networks are trained off-line to model some of the human expertise that are otherwise difficult to model in a traditional rule-based system. Using this neural production system, a vision-guided mobile robot navigation system is developed capable of performing both reactive navigational tasks and high level reasoning.<
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