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| 改进的布尔公式学习算法 | |
| Alternative Title | Improved Learning Algorithm of Boolean Formula |
| 哈晓琳; 李勇坚 | |
| 2014 | |
| Source | 计算机系统应用
 |
| ISSN | 1003-3254 |
| Issue | 9Pages:83-88 |
| English Abstract | 当前，布尔公式学习算法的研究大多数是理论上的模型建立和推导，很少有人考虑到布尔公式学习算法在实际应用中的效率改进。现在较成熟的布尔学习算法主要利用的是询问模型，而询问模型需要依赖外部的SMT 工具进行询问问题的回答。虽然，布尔公式学习算法可以在多项式次数的询问之后得到正确结果，但是，减少询问的次数可以减少使用 SMT 工具进行问题计算的次数，即减少问题计算的时间。主要针对布尔公式学习算法在实际系统中的应用问题，提出了利用单调理论中的最小赋值向量的方法，来减少布尔公式学习算法的询问次数，提高算法效率和适用性。 Currently, most of the study of Boolean formula learning is theoretically the modeling and derivation. Less people considers efficiency improvements in practical applications. Now more mature Boolean formula learning algorithms mainly use the query model, and the query model relies on external SMT tools to answer the query problems. Although Boolean formula learning algorithm can get the right result after a polynomial number of queries, reducing the number of queries can reduce the number of using SMT tools to answer the queries, namely to reduce the computing time of the queries. This paper took the smallest monotonous assignment vector of the monotone theory to reduce the number of queries in Boolean formula learning algorithm and improved the efficiency of the learning algorithm. |
| Keyword | 布尔公式 学习算法 询问模型 单调理论 最小赋值向量 Boolean Formula Learning Algorithm Query Model Monotone Theory Minterms |
| Department | 中国科学院软件研究所计算机科学国家重点实验室，北京 100190; 中国科学院大学，北京 100190 中国科学院软件研究所计算机科学国家重点实验室,北京,100190 |
| Language | 中文 |
| Content Type | 期刊论文 |
| URI | http://ir.iscas.ac.cn/handle/311060/16970 |
| Collection | 中国科学院软件研究所 |
| Recommended Citation GB/T 7714 | 哈晓琳,李勇坚. 改进的布尔公式学习算法[J]. 计算机系统应用,2014(9):83-88. |
| APA | 哈晓琳,&李勇坚.(2014).改进的布尔公式学习算法.计算机系统应用(9),83-88. |
| MLA | 哈晓琳,et al."改进的布尔公式学习算法".计算机系统应用 .9(2014):83-88. |
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