We are doing research on automatic earthquake detection. We tested HTM as a possible intelligent unsupervised approach and obtained interesting/intriguing results. Here's a report of our tests:
If you have any suggestions, ideas or comments that you think it may be useful to us, you are welcome.
Below a brief background of our research:
It is not so difficult to make a machine understand what is a big earthquake, but the task becomes very hard for smaller ones.
Small local jitters, slammed doors, a truck passing nearby etc etc are easily confused by most of the algorithms. We used in the past A.N.N., and trained them to distinguish instrumental noises from tiny seismic waves. This approach has its own advantages and disadvantages. We somehow succeeded to obtain decent results (and won two technology related prizes, if you read japanese Yahoo! Japan "Novelty Goods" prize and [Internet of Things prize].
In the arXiv report above, we changed approach and used for the first time NuPic HTM, with intriguing results (HTM adapts quickly to the instrumental background noise and recognizes very small deviations from it with high anomaly scores. Very encouraging as a first test). If you are interested and want to give us some comments/suggestions please read the arXiv report. THANKS !