In this blog post series, we will present a real-time anomaly detection tool based on the Hierarchical Temporal Memory (HTM) network. In this first post we will briefly describe the problem of anomaly detection in time series.

In this blog post we will present a short overview of the Hierarchical Temporal Memory theory.

In this blog post we will show how to use an HTM network to solve an anomaly detection problem.

In this blog post of the ADTS series we will show an application of an HTM network on a real-time series.

In this last blog post of the ADTS series we will show an interesting example of anomaly detected on the MTA market data series.