通过语义分析和语义推理，可以充分利用信息资源之间的关系实现相关信息资源检索与语义融合。
By semantic analysis and semantic inference, the relationship among resource could be fully used to implement the relevant information resource retrieval and semantic fusion.
讨论了系统结构、知识表示、推理机、温度数据融合算法和智能控制方法。
The paper discusses the system architecture, knowledge representation, inference mechanism, method of data fusion and intelligent control mechanism.
基于涌现原理，提出了三种模式分类模型：模型推理、特征融合和模式联想。
Bring up three pattern classifying models: pattern reasoning, character fusions and pattern associated based on the principle of emerge.
最后根据不确定推理与决策理论对不同空域和时域的数据进行融合。
Uncertain reasoning and decision-making is used to fuse the data in the different space and time fields.
在此基础上，提出了一种多源信息的实时智能融合系统，并对该系统中的知识库和推理机进行了详细的论述。
On the basis of it, a real-time intelligent fusion system of multi-source information is proposed, and the operating principles of knowledge base and reasoning machine in this system are discussed.
对不能识别的样本，采用模糊推理技术，把传统的直观特征识别结果和多层BP网络结果在特征级上融合，提高系统的性能。
As to the samples that have not been able to be recognized we adopt fuzzy logic to fusion obvious feature and MBPNN's feature, and increase the performance of the system.
本文基于鲁棒神经网和混合模糊推理新概念，提出了融合的并行拓扑结构。
This paper presents a parallel topology structure of fusion based on the new concepts of robust neural network and mixed fuzzy reason.
状态监测任务由基于多网络协同推理的方法完成，采用特征融合和时空判决融合技术提高推理效率。
The technique which combine the feature compression, time-space decision fusion and multiple network cooperative inference, is used to improve the inference efficiency in the monitoring.
模糊推理和神经网络在信息融合领域的应用各有所长。
When applied to information fusion, neural networks and fuzzy inference have their own advantages and disadvantages.
研究了一种综合应用神经网络的分类功能和D S推理融合诊断的故障决策新方法。
A new method of synthetic application of neural network technique sorting function and Dempster-Shafer theory (D-S) fusion diagnosis of faults decision-making is researched.
对火灾的判断主要采用模糊推理的数据融合算法，火灾数据的处理和算法的实现都由控制器来完成。
The judgement to fire mainly adopts data fusion of fuzzy reasoning data fusion. Fire data and realization of data fusion are executed by controller.
针对目标综合识别过程中的复杂性和不确定性特点，利用贝叶斯网络融合模型对融合识别过程进行概率建模及推理。
For dealing with the complexity and uncertainty in the target identification fusion, the fusion model of Bayesian Networks is used.
实现了对粗糙集理论和综合推理理论的融合和成功扩展。
Rough set theory and synthesis reasoning theory can be integrated and generalized successfully.
该模型能够通过融合推理得到态势假设和事件之间的潜在关系 ，为决策提供依据。
The model can find the potential relation between situation hypothesis and events, thus supporting the decision making.
该模型能够通过融合推理得到态势假设和事件之间的潜在关系 ，为决策提供依据。
The model can find the potential relation between situation hypothesis and events, thus supporting the decision making.
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