个人信息Personal Information
副教授
硕士生导师
性别:男
毕业院校:吉林大学
学位:博士
所在单位:数学科学学院
电子邮箱:lizx@dlut.edu.cn
The binary output units of neural network
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论文类型:会议论文
发表时间:2013-07-04
收录刊物:EI、Scopus
卷号:7951 LNCS
期号:PART 1
页面范围:250-257
摘要:When solving a multi-classification problem with k kinds of samples, if we use a multiple linear perceptron, k output nodes will be widely-used. In this paper, we introduce binary output units of multiple linear perceptron by analyzing the classification problems of vertices of the regular hexahedron in the Three-dimensional Euclidean Space. And we define Binary Approach and One-for-Each Approach to the problem. Then we obtain a theorem with the help of which we can find a Binary Approach that requires more less classification planes than the One-for-Each Approach when solving a One-for-Each Separable Classification Problem. When we apply the Binary Approach to the design of output units of multiple linear perceptron, the output units required will decrease greatly and more problems could be solved. ? 2013 Springer-Verlag Berlin Heidelberg.