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1)  combined rationality
混合理性
2)  mixing mechanism
混合机理
1.
The structural feature, the mixing mechanisms and the application of cavity transfer mixer using in extrusion were investigated.
阐述了适用于挤出机上的空穴传递混合器(CTM)的结构特点、混合机理,并给出了应用实例。
2.
WT5,5”BZ]This paper discusses mainly the structure of the new type of static flow mixer and its mixing mechanism of Mid Volume Vacuum Resin Dosing Equipment.
讨论了真空树脂灌注机新型静态混合器的结构及小孔自由射流混合机理。
3.
In this paper, mixing mechanism of a new- type stirred tank with penetrated baffles was studied.
对设有开孔挡板的新型穿流搅拌釜的混合机理进行了研究。
3)  mixed treatment
混合处理
4)  hybrid inference
混合推理
1.
According to the characteristics in intelligent instrument faults,the hybrid inference method combining rule-based reasoning and case-based reasoning is adopted.
针对智能仪器的故障特点,采用规则推理和事例推理相结合的混合推理技术。
2.
A new fault forecast model based on hybrid inference of dynamic fuzzy comprehensive evaluation and“frame+rules” is put forward.
指出了传统预测方法用于火炮故障预测的不足,提出了基于动态模糊综合评判和“框架+规则”的正反向混合推理故障预测模型。
5)  hybrid reasoning
混合推理
1.
Development of high-speed cutting database system based on hybrid reasoning;
基于混合推理的高速切削数据库系统的建立
2.
Then,a new hybrid reasoning method on partnerships diagnosis based on RBR,CBR,and SVM.
在其基础上,综合规则推理、案例推理和支持向量机的优势,构建了一种新型的混合推理方法,以支撑供应链伙伴关系协同诊断。
3.
This paper probed out a hybrid reasoning mechanism combining CBR and RBR ,which is used in the design of pile foundations design to establish the piles design aided system based on hybrid reasoning mechanism that could overcome drawbacks of the traditional expert system for piles design.
基于事例的推理 (CBR)和基于规则的推理 (RBR)是人工智能中两种有效实用的推理 ,本文探讨一种CBR和RBR的混合推理机制 ,并建立基于混合推理机制的桩基辅助设计系统 ,克服传统桩基设计专家系统存在的缺点。
6)  texture mixing
纹理混合
1.
Using this method,optimal texture mixing is made at the optimal position.
提出了一种新颖的可处理两个纹理样本的纹理混合方法。
2.
The seamless texture mixing algorithm was used to faithfully keep the integrity and smoothness of the new synthesized video frames.
以微帧为组成单元,以纹理合成特征匹配为基础,采用平滑过渡的方法达到时域的连续性,以获得具有真实感的视觉效果,同时应用无缝纹理混合方法保持视频帧的完整性和平滑性。
补充资料:大陆理性派
17-18世纪欧洲大陆上唯理论者的统称。主要代表有笛卡儿、斯宾诺莎、莱布尼茨等。他们都认为感性知识不可靠,强调理性知识才最可靠。有唯物的和唯心的之分。
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