1) situation processing model based on ontology rule reasoning
本体规则推理情形分析处理模型
2) awareness processing model based on ontology rule reasoning
本体规则推理感知处理模型
3) ontology reasoning rule
本体推理规则
1.
2) Personalized situation ontology reasoning rules in the E-Learning environment are presented.
2)提出了E-Learning环境中的个性化情形本体推理规则。
4) reasoning by cases
分情形推理
1.
In this paper, a kind of tree method is proposed to investigate Roos extensions about the reasoning by cases in default logic, discuss deeply the computation of Roos extensions and analyze the relationship between Roos extensions and Reiter s extensions.
引进一种树型方法以研究缺省逻辑中分情形推理下的 Roos扩张 ,深入讨论了 Roos扩张的计算 ,并分析了Roos扩张与 Reiter扩张的关系 。
5) fomal inference fules
形式推理规则
6) fuzzy inference rule
模糊推理规则
1.
Then,some fuzzy inference rules are established to control the crossover rate and the mutation rate,thus improving the convergence speed and avoiding the premature convergence.
通过建立模糊推理规则,对交叉率和变异率进行模糊控制,从而提高了收敛速度,避免了不成熟收敛。
2.
RBF network and Takagi Sugeno fuzzy inference rule are two methods with different origins.
ＲＢＦ网络是一种广泛应用的神经网络模型，而Ｔａｋａｇｉ－Ｓｕｇｅｎｏ模糊推理规则是一种简化的模糊推理规则，两种方法的起源不同。
补充资料：情形
情况；事情的样子：真实情形｜一见这情形，他呆住了。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条