Internet based neural network online simulation tool
Milos Manic, Bogdan M. Wilamowski, Aleksander Malinowski · 2003
Since the legendary work of McCulloch and Pitts from early 1940s and introduction of concept of artificial neuron, numerous attempts aiming to automate the process of training neural networks have been made. Neural networks, even though successfully applied in many different areas still bear significant problems with respect to adequate choice of network parameters, architecture, etc. As the concept of neural networks evolved through more than six decades, the technology also underwent tremendous changes. Educational tools aiming to help everyday users to learn, gain and apply knowledge in neural network training have evolved accordingly. Unlike many commercial or freeware tools available on market today, authors have decided to go with the implementation that would provide two significant advantages to an existing tools. In this paper authors are proposing an educational too that is characterized by both transparent accessibility with respect to hardware and software platform on one, and ease of use on the other hand. The tool is web based, therefore user is relieved of installation and setup hurdles. Besides, by employing a remote server that hosts the application, the user saves local resources for other jobs.