deep reasoning
英 [diːp ˈriːznɪŋ]
美 [diːp ˈriːznɪŋ]
网络 深层因果推理
双语例句
- The main aesthetical characteristics of language in Shu Ting's poetry are the simplicity of oral narrative, elasticity of rich connotation, music of distinctive rhythm and theorization of deep reasoning.
口语叙事的纯朴美、含蓄蕴藉的弹性美、节奏鲜明的音乐美和隽永深刻的思辩美是舒婷诗歌语言的主要审美特征。 - High level questions should bear features as close connection to knowledge, explicit presupposition, integrated information, deep reasoning.
较高水平的问题应该具有以下特征：较高的知识关联度、较高的预设明确度、较高的信息综合度、较高的思维激活度。 - Deep knowledge-based two-step diagnostic reasoning for multiple faults
基于深知识的多故障两步诊断推理 - Using deep field knowledge in metal cutting, an expert system for selecting tool materials is developed. It is a sub system called by the metal cutting database system, by which the suitable material code of tool can be acquired through forward backward reasoning.
运用金属切削理论与经验等领域深层知识建立刀具材料选择专家系统，它作为一个子系统由切削数据库系统调用，通过正反向混合推理，可为切削新型金属材料推荐合适的刀具材料牌号。 - It is of important theoretical significance to conduct active and deep research on the rule of graphic reasoning for unveiling the nature of human intelligence and further developing human intellectual potentials.
积极、深入地开展图形推理规律的研究，对于揭示人类智能的本质、进一步开发人类的智力潜能具有非常重要的理论意义。 - The essence of the approach is that the redundant information is extracted on the basis of using sufficiently the correlation between information and led in redundant correcting analysis and deep knowledge reasoning.
文中提出了基于混合因果网模型的故障诊断方法，该方法的要点是充分运用信息间的关联性提取冗余信息，并用做冗余纠错分析和深层知识推理； - Based on the deep research on the techniques such as expert system, fuzzy reasoning and neural networks, the method for constructing fault diagnosis expert system is studied, and the cooperation reasoning model and the fuzzy reasoning based on multi dimension with multi-scale problems are given out.
将模糊推理、神经网络技术与专家系统相结合，研究了故障诊断专家系统的构造方法、协作推理模式和基于多维多重模糊推理命题下的模糊推理方法。 - When the shallow knowledge base can not be given the correct identification ( identification of Uncertainty), the system through the activation of deep knowledge base for reasoning, come to recognize the results.
当浅层知识库不能给出正确的识别（识别结果不确定时），系统通过激活深层知识库进行推理，得出识别结果。 - This needs the deep diagnosis and decision. A probabilistic casual reasoning method is proposed for the diagnosis of optimal operation parameters.
提出了基于概率因果模型的深层次机组运行优化参数诊断方法。