a binary neural network ( bnn ) applies to problems in boolean space, extraction of rules is a important research area of it 二进神经网络是应用于布尔空间的神经网络,知识提取是它的一个重要研究领域。
based on analyzing the relationship between linear separability and a connected set in boolean space, the particular effect of a restraining neuron in extraction of rules from a bnn is discussed, and that effect is explained through a example called a mis problem in boolean space . in this paper, a pattern match learning algorithm of bnns is proposed . when a bnn has been trained by the algorithm, all the binary neurons of hidden layer belong to one or more ls series, if the logical meanings of those ls series are clear, the knowledge in the bnn can be dug out 另一个研究成果是在分析线性可分和样本连通性关系的基础上,以mis问题为例,讨论了抑制神经元在二进神经网络规则提取中的独特作用,提出了二进神经网络的模式匹配学习算法,采用这种算法对布尔空间的样本集合进行学习,得到的二进神经网络隐层神经元都归属于一类或几类线性可分结构系,只要这几类线性可分结构系的逻辑意义是清晰的,就可以分析整个学习结果的知识内涵。
based on analyzing the relationship between linear separability and a connected set in boolean space, the particular effect of a restraining neuron in extraction of rules from a bnn is discussed, and that effect is explained through a example called a mis problem in boolean space . in this paper, a pattern match learning algorithm of bnns is proposed . when a bnn has been trained by the algorithm, all the binary neurons of hidden layer belong to one or more ls series, if the logical meanings of those ls series are clear, the knowledge in the bnn can be dug out 另一个研究成果是在分析线性可分和样本连通性关系的基础上,以mis问题为例,讨论了抑制神经元在二进神经网络规则提取中的独特作用,提出了二进神经网络的模式匹配学习算法,采用这种算法对布尔空间的样本集合进行学习,得到的二进神经网络隐层神经元都归属于一类或几类线性可分结构系,只要这几类线性可分结构系的逻辑意义是清晰的,就可以分析整个学习结果的知识内涵。
firstly, the research actualities and some basic theories are introduced, then by discussing the kt method, mofn rule expression and the difference between rules of implication and rules of equivalence, a wta method based on analysis of the weights and threshold in a binary neuron is proposed . hypercubes, hamming spheres, sp functions and cartesian spheres are several important ls series in boolean space 论文介绍了二进神经网络的研究现状和基本理论,通过讨论kt方法、mofn规则表达形式以及蕴含性规则和等价性规则的差异,提出了从分析二进神经元权值、阈值关系的角度进行规则提取研究的wta方法。