A General Judging and Constructing Method of SP Functions in Binary Neural Networks
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摘要: SP函数是一类具有明确逻辑意义的线性可分结构系,PSP函数是SP函数的特殊子集. 文中讨论了二进神经元对SP函数和PSP函数的表达问题,通过研究PSP函数分类超平面的某 些性质,建立了SP函数和PSP函数的一般判别和构造方法.Abstract: SP functions form a linearly separable series with a clear logical meaning and the set of PSP functions is only a special subset of SP functions. In this paper, some expression problems of SP function and PSP function in a binary neuron are discussed. Furthermore, some properties of the separating hyperplane for PSP functions are analyzed. Finally, a general judging and constructing method of SP functions and PSP functions is proposed.
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Key words:
- Binary neural network /
- linearly separable /
- PSP function /
- rule extraction
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