*********** Cosines.nns is a NeuNet Pro Sample File *********** This file contains special properties that allow NeuNet Pro to recognize it as authorized NeuNet sample data. Anyone using the unlicensed version of NeuNet Pro is welcome to experiment with this sample data. Please do not modify this file, or it will lose its status as authorized sample data. For further information about Neunet Pro and additional sample data, please visit the NeuNet Pro website at http://www.cormactech.com/neunet All of this data has been generated by CorMac Technologies Inc. The provided NeuNet project attempts to train a neural network to learn to predict the next point on a cosine wave by using several previous points. *************** More about the Cosine Data ******************* C O S I N E D A T A (Train a neural net to predict next point along cosine wave) This project contains nine columns and 10,000 rows: [Index], [Y1], [Y2], [Y3],[Y4], [Y5], [Y6],[Y7], [Y8] The Y points are equally spaced along the previous half wavelength of a cosine wave. The rows are presented as a time series. NeuNet Pro was trained to predict [Y8] based on the previous seven Y values. NeuNet Pro default project settings were used. NeuNet Pro was trained on the first 5000 rows then tested on the remaining 5,000 rows. Accuracy was ~99.75% for both the training set and the test set. Attempts to predict [Y8] based solely on the [Index] value were unsuccessful.