Machine Learning for Pulsar Classification Public
Developed an artificial neural network, based on “Inception v3”, by using transfer learning with Tensorflow, for post-processing data from Arecibo telescope and GBT to detect neutron stars. Achived 19 times increase in efficiency.
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Metadata
- Creator
- Suprun, Dmytro
- Ann Schmiedekamp, Ph.D
- Carl Schmiedekamp, Ph.D
- Keyword
- AI
- CNN
- machine learning
- Dmytro Suprun
- ACURA
- convolutional neural network
- tensorflow
- Abington
- Rights
- GNU General Public License
- Resource type
- Poster
- Size
- 638 KB
- Total items
- 1
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Last modified: 2018-01-14
Items in this Work
| Title | Date Uploaded | Visibility | Actions | |
|---|---|---|---|---|
| wdb78td89z_version1_Final_draft.pdf | 2017-05-15 | Public | Download |
| User Activity | Date |
|---|---|
| The derivative for Machine_Learning_For_Pulsar_Classification.pdf was not successfully created | about 1 year ago |
| User Dmytro Suprun has attached /concern/file_sets/kpr76f392r to Machine Learning for Pulsar Classification | about 1 year ago |
| User Dmytro Suprun has updated Machine Learning for Pulsar Classification | about 1 year ago |
| User Dmytro Suprun has updated Machine Learning for Pulsar Classification | almost 2 years ago |
| User Dmytro Suprun has updated Machine Learning for Pulsar Classification | almost 2 years ago |
| User Dmytro Suprun has updated Machine Learning for Pulsar Classification | almost 2 years ago |
| User Dmytro Suprun has deposited Final_draft.pdf | almost 2 years ago |