App for layer classification(collector, tire) using Back Propagation and Resilient Propagation Neural Networks.
- Navigate to project parent folder and run
gradle buildto build the project - Then
gradle runorjava -jar build/libs/Layer-Classifier-[version].jarto run it
Note: To run this application you need Java SE 1.8.0_40+ and Gradle 2+
Main window contains two tables with real and training data, select-box with neural net types and text area for results logging. To start training you should first fill out training data table.
When you click on train button - training settings pop-up menu shows up. In this menu you can customize learning speed, max iterations and max available error of neural net.
After training, error decreasing chart shows up. This chart represent value of error on each iteration.
You can write real data by hand or generate artificial values to test neural net. To generate artificial values just click on generate button and then write amount of rows which should be generated.
When you press solve button neural net classifies layers on tire or collector (Don't forget to train neural net before run classification).
Layer-Classifier is released under the MIT License.