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Copyright (C) 2016 Jonas Penno This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more...

This project includes the implementation of a neural network MLP, RBF, SOM and Hopfield networks in several popular programming languages. The project also includes examples of the use of neural networks as function approximation and time series prediction. Includes a special program makes it easy to test neural network based on training data and the optimization of the network.

SES brings back the uncrackable onetime pad, with a digital twist. It is well known that a random key of message-length is the only provably unbreakable cipher. SES uses cryptographic strength pseudo-random keys of message-length for its many encipherments, in addition to offering true one-time pad capability for the intrepid. SES is built on ISAAC, Bob Jenkins' unbroken CSPRNG, a fast and simple stream cipher placed in the Public Domain in 1996. SES now gives you the ability to...