文件名称:activity-recognition-based-on-DRNN
- 所属分类：
- 人工智能/神经网络/遗传算法
- 资源属性：
- [C/C++] [源码]
- 上传时间：
- 2015-08-27
- 文件大小：
- 3.93mb
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- 0次
- 提 供 者：
- guo***
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基于多层神经网络的人类活动识别，智能家居领域的一项重大突破。-Activity recognition has received increasing attention from
the machine learning community. Of particular interest is the ability to
recognize activities in real time streaming data, but this presents a
number of challenges not faced by traditional offline approaches. Among
these challenges is handling the large amount of data that does not
belong to a predefined class. In this paper, we describe a method by
which activity discovery can be used to identify behavioral patterns in
observational data. Discovering patterns in the data that does not belong
to a predefined class aids in understanding this data and segmenting it
into learnable classes.
the machine learning community. Of particular interest is the ability to
recognize activities in real time streaming data, but this presents a
number of challenges not faced by traditional offline approaches. Among
these challenges is handling the large amount of data that does not
belong to a predefined class. In this paper, we describe a method by
which activity discovery can be used to identify behavioral patterns in
observational data. Discovering patterns in the data that does not belong
to a predefined class aids in understanding this data and segmenting it
into learnable classes.
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activity recognition based on DRNN\cairodata
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..................................\main.c
activity recognition based on DRNN