SigmaPi is a simulator for recurrent neural networks of arbitrary topology. It uses the LSTM neuron model, and implements a training algorithm based on RTRL with some extensions taken from RProp.
|Tags||Scientific/Engineering Artificial Intelligence Mathematics Adaptive Technologies Medical Science Bioinformatics|
|Operating Systems||POSIX Solaris Linux BSD FreeBSD|
Release Notes: This version introduces early stopping and colour-encoded error displays. It uses double-precision floating point numbers like version 0.1 and 0.2. Some bugs were also fixed.
Release Notes: A bug in the WAV/ASCII save procedure has been fixed.
Release Notes: This one can read and write Ascii and WAV files, some bugs were removed, and the interface is more comfortable.
Release Notes: An option to connect neurons with different connection types simultaneously was added. An option to upload algorithm settings from a file directly to a selected connection was added. A statusbar was added.
Release Notes: This version includes algorithm save/load functionality plus two new activation functions: the 'Mexican Hat' and the 'Gaussian Derivative'.