An educational tool for artificial neural networks

Artificial neural networks are some kind of data processing systems, which try to simulate features of the human brain and its learning process. So, they are widely used by researchers to solve different problems in optimization, classification, pattern recognition, associative memory and control. In this paper, an educational tool, which can be used to work on different kinds of neural network models and learn fundamentals of the artificial neural network, is described. At this point, the whole tool environment provides an advanced system to ensure mentioned functions. The developed system supports using MLP, LVQ and SOM models and related learning algorithms. It employs some visual, interactive tools, which enable users to compose their own neural networks and work on the developed networks easily. By using these tools, users can also understand and learn working mechanism of a typical artificial neural network, using features of different models and related learning algorithms.

In this study, an educational tool, which can be used to work on different kinds of neural network models and learn fundamentals of the artificial neural network, is described. The tool provides an effective working environment to achieve the mentioned functions and objectives. It is an alternative and supporter program to existing, similar works and can be used easily by engineers, mathematicians, scientists, analysts and users who are interested in the artificial neural network systems and want to learn fundamentals of these systems.Figure optionsDownload as PowerPoint slide