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The cognitive algorithm of multi-degree of freedom neurons (MDFNs) was an important implementation method for Bionic Pattern Recognition (BPR), which was computed by high dimensional Euclidean geometrics. This paper proposed a new method for computing the MDFNs based on Clifford algebra, and gave out the corresponding proves to this method. Especially, the computing expressions for Clifford distant...
Artificial neural networks are nonlinear dynamic systems which are constituted of abundant simple processing unites, their characteristics include parallel computing, memory distributing, self-learning and self-organization, etc. They are used to solve many artificial intelligence problems that are very difficult or impossible to be solved by traditional computer. Based on theory of the semiconductor...
Studies on learning problems from geometry perspective have attracted an ever increasing attention in machine learning, leaded by Biomimetic Pattern Recognition on information geometry. Biomimetic Pattern Recognition is a new model of Pattern Recognition based on “matter cognition” instead of “matter classification”. This new model is much closer to the function of human being, than traditional statistical...
Biomimetic Pattern Recognition is a new model of Pattern Recognition based on ldquomatter cognitionrdquo instead of ldquomatter classificationrdquo. This new model is much closer to the function of human being, than traditional statistical Pattern Recognition using ldquooptimal separatingrdquo as its main principle.But it has been investigated in 2D sample space, In this paper, we extend to space...
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