Design of activity tracker with on-board pattern recognition based on artificial neuron network
As big data becomes more easily available due to the increasing amount of smart electronics and communication devices, the need for big data analysis becomes more prevalent. One such method that can analyse big data is machine learning. Using Machine Learning, the computer will be able to analyse h...
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| 格式: | Final Year Project |
| 語言: | English |
| 出版: |
2017
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| 在線閱讀: | http://hdl.handle.net/10356/71472 |
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| 機構: | Nanyang Technological University |
| 語言: | English |
| 總結: | As big data becomes more easily available due to the increasing amount of smart electronics and communication devices, the need for big data analysis becomes more prevalent.
One such method that can analyse big data is machine learning. Using Machine Learning, the computer will be able to analyse huge amounts of data in a short period of time. One of the ways to apply machine learning is through the use of Artificial Neural Networks(ANN).
This report will discuss about two methods which uses ANN to implement machine learning to the system, specially, in the area of pattern recognition. Pattern recognition can help to classify the patterns seen into different classes, with each class having a specific meaning to the user that defines. This will help reduce the big data collected into smaller and more meaningful groupings. |
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