模型识别是设备状态的识别方法之一。
The model identification is an identifying method of equipment state.
而高斯模型是模型识别研究中经常用到的一个模型。
But Gaussian model is often used in the pattern recognition research.
此模型可用于模式识别和故障诊断。
This model can apply to pattern identification and fault diagnosis.
增加已知模型的信息量，增强模式识别能力。
It can take more information and enlarge ability of pattern recognition.
提出了基于模式识别的微粒计数模型。
The particle count model is given base on pattern recognition.
最后，在中文语音识别任务上测试两类语言模型的性能。
Finally, these two language models are evaluated on the task of Chinese speech recognition.
该模型对诊断识别问题有一定的通用性。
The model is general for the diagnosis-type recognition problem.
面向目标识别的图像融合需依据不同的目标任务建立不同的融合模型。
Image fusion applied for target recognition should be modeling for each different task.
识别由模型树图导引从上至下完成。
The recognition process is driven by the model graph in a top-down order.
本文中用该模型作胃病例样本识别试验获得了较好的结果。
Test to identify the case samples of the stomach achieved good result.
新模型使语音识别率得到了改善。
论文的主要贡献如下：1、提出了一种基于自然语言识别的智能查询模型。
The paper brings forward a new intelligent retrieval model basing on Recognition of Natural Language.
识别由模型树图导引从上至下完成。
识别由模型树图导引从上至下完成。
语音的声学模型和识别理论是构建语音识别系统的基础。
Acoustic model and speech recognition theory is the basis for building speech recognition systems.
本文描述了采用这种网络模型实现的印刷体汉字识别系统。
The paper describes a printed Chinese character recognition system by such network.
本文对基于模型的诊断的全部诊断过程：模型建立、冲突识别、诊断产生、诊断测试。
What the model-based diagnosis is composed are: model building, conflict recognition, diagnostic generation, diagnostic test.
因此该面板数据模型异常值的识别问题是一项重要的研究工作。
Therefore, the identification of outliers in panel data model is a very important work.
因此该面板数据模型异常值的识别问题是一项重要的研究工作。
Therefore, the identification of outliers in panel data model is a very important work.
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