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SigmaPi 1.3

The SigmaPi Neural Network Simulator is designed for time-series processing and neural network research. It uses the LSTM neuron model, the RTRL training algorithm and a heuristic learning rate adaptation based on local update sign-changes.

SigmaPi is no end-user software. It allows the user to change every possible network parameter, and it won't tell you whether a setting is nonsense or not. To use SigmaPi, you should know how a recurrent neural network works and how a LSTM neuron processes information (the manual contains a schematic, since the LSTM neuron of SigmaPi differs slightly from other implementations).

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Predicted future versions and notices:

The constantly monitors the update of all programs, including information from the SigmaPi 1.3 changelog file, however sometimes it can happen that data are not complete or are outdated.We assume that author continue's to develop 1.4 version with further advanced features, and soon you will be informed. Equally important 2.0 upgrades of the program we will continue to monitor. Full SigmaPi description has been compared with the overall software database and our algorithm has found the following applications (are showed below).