【摘要】 将感觉神经检测机制融合于Petri网中,提出了一种新的基于属性抽取与整合的感觉神经检测Petri网模型,使得Petri网更加适合于对神经思维的描述,提高了系统的智能行为.更多还原

【Abstract】 Human sensation is the basis of consciousness processes and thinking processes of movements in the brain. With the improvement of the neural experimental technique, the corresponding relation between human thinking and nervous structures has been and will be revealed. In accordance with the results of experiments ,the sensation image is considered as the nervous information processing unit and the basic component of memorized pattern in . Firstly, a mathematical model of sensation neuron detection,which is based on attributive abstraction and integration,is presented in this paper. It is shown that both the spatial frequency analysis theory and the feature abstraction theory can be uniformed in this model, which is not only an attributive semantic extension of artificial neural networks, but also an integration of symbol mechanism and network mechanism. Finally, with the theory of sensation neuron detection mechanism into petri net,a new model of sensation neural petri net, which is based on attributive abstraction and integration, is defined. The sensation detection mechanism is used in petri net, which makes petri net more adapted to describing not only attributive abstraction and integration , but also neural and intelligental actions.更多还原