An Optimization Method of Knowledge Mapping Relationship Based on Improved Ant Colony Algorithm

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篇名	An Optimization Method of Knowledge Mapping Relationship Based on Improved Ant Colony Algorithm
並列篇名	An Optimization Method of Knowledge Mapping Relationship Based on Improved Ant Colony Algorithm
作者	Shi-Fu Xu、Ya-Nan Jiang
英文摘要	The current knowledge mapping relationship optimization methods cannot obtain high-precision information. An optimization method of knowledge mapping relationship based on improved ant colony algorithm is proposed. The high-precision information of the network is obtained by using the cyclic network. The SGP problem is used to replace the optimization problem of the knowledge map relationship. The optimization objective function of the knowledge map relationship is constructed and solved by the improved ant colony algorithm. The optimization of the knowledge map relationship is realized. Experimental results show that the proposed method has high average accuracy, high knowledge accuracy and high knowledge coverage.
起訖頁	137-147
關鍵詞	knowledge mapping relationship、ant colony algorithm、optimization method、SGP
刊名	電腦學刊
期數	202204 (33:2期)
DOI	10.53106/199115992022043302012 複製DOI
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