计算机应用与软件Issue(1)：180-181,221,3.DOI:10.3969/j.issn.1000-386x.2014.01.047
先验知识引导下的基于遗传搜索的知识发现方法
PRIORI KNOWLEDGE-GUIDED KNOWLEDGE DISCOVERY METHOD BASED ON GENETIC SEARCH
摘要
Abstract
Incomplete knowledge base leads to the problem of poor generalisation ability of the classifier.Aiming at this issue,we put for-ward a genetic algorithm knowledge-based discovery method guided by priori knowledge.The method initialise the population and construct the mutation function by introducing the approximate prior domain knowledge of the problem,makes use of the genetic algorithm guide by pri-ori knowledge to search the solution space of the problem,finally obtains new knowledge.Using this method,it is able to get the general knowledge covering the priori domain knowledge and training examples simultaneously,thereby improves the classification performance and generalisation ability of the classifier.Experimental results show that,compared with classical genetic algorithm,the algorithm has better gen-eralisation ability,and the features obtained is also smaller in size.关键词
遗传算法/知识发现/知识引导系数/变异函数Key words
Genetic algorithm/Knowledge discovery/Knowledge guide coefficient/Mutation function分类
信息技术与安全科学引用本文复制引用
闫一功,李红磊..先验知识引导下的基于遗传搜索的知识发现方法[J].计算机应用与软件,2014,(1):180-181,221,3.基金项目
国家自然科学基金项目（60904047）。 （）
