Setting the GUI enviroment

Thursday,July 02 ,2009

The first approach for the GUI environment for the trainer is just a main window with many input text boxes to setup the neural network data. The main issue was the portability of the application to adapt it to any plugin. The solution is to adapt a scripting system allowing many inputs and more data.

Structure

The main window is just a simple notepad-type editor, a main multi-line text box serves as the main input for the parser. The parser is the main adaptation for the system, converting each input to data passing it to the neural network data

Defining the Scripting Language

The scripting language may vary depending the type of neural network architecture however we should define main keywords like INPUT and OUTPUT. The scripting language should be implemented on the plugin instead into the GUI interface, this gives complete freedom to the programmer to use its on keywords and parsing systems

How useful this system could be?

An blank neural network could be created just by typing a few lines on the editor and saved in to a file, and setup static training patterns such in backpropagation networks, later the application may use neural network data previously trained to its purposes



Category Neural network trainer project

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