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Beta version.
Base class for optimized storage of timeseries data.
Uses any kind of relational database.
Cross plateform with multiple languages (C++, C#, Java).
Conditional storage based on value variation : DeltaValue and DeltaTime params.
Get back data without losts.
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.