作者: C.S. Weaver
关键词: Sample space 、 Partition (number theory) 、 Convex hull 、 Linear separability 、 Regular polygon 、 General position 、 Mathematics 、 Pattern recognition 、 Set (abstract data type) 、 Artificial intelligence 、 Hyperplane
摘要: A condition for separation of two categories by a pattern-recognition network formed an array threshold logic units (TLU) and additional decision element is discussed. The implements set hyperplanes that partition the sample space, outputs vector elements form input to element. It shown this separable convex surface if, in each cells partition, hull first-category vectors cell does not intersect with second-category cell. When TLU can be zero another array, comparison shows capacity significantly increased. sufficient general position described. An algorithm suggested places so equal error rates occur on both sides. This property tends more finely regions overlap between categories.