The features of transaction were learned by DBN to get the higher level of abstract features, and the MLP performed the classification task.
然后利用多层感知器进行分类任务，从而识别出虚假交易。
Dynamic Bayesian Network (DBN), because of extensibility, powerful description, inference and learning abilities for the time series, being used in the speech recognition.
动态贝叶斯网络(DBN)，以其扩展性和对时间序列的强大描述、推导和学习能力，逐渐被应用于连续语音识别中。
According to the hierarchical structure of audio-visual bimodal modeling, a new DBN is constructed to describe the natural audio and visual state asynchrony as well as their conditional .
分析了音视频联合建模的层级结构，利用动态贝叶斯网络对不同层级的音视频关联关系建立模型，并基于该模型进行音视频说话人识别的实验。
According to the hierarchical structure of audio-visual bimodal modeling, a new DBN is constructed to describe the natural audio and visual state asynchrony as well as their conditional .
分析了音视频联合建模的层级结构，利用动态贝叶斯网络对不同层级的音视频关联关系建立模型，并基于该模型进行音视频说话人识别的实验。
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