To see a variety of examples, visit Neural Networks at PNNL . This site from the Pacific Northwest National Laboratory posts a variety of lab projects, including Automated Lung Disease Diagnosis , Electronic Noses , and many others. Many of these let users enter data and see the results generated by an artificial neural network. Other sites also let visitors experiment with neural networks. For instance, the Artificial Neural Network Lab on the Web includes a Bayesian Self-Organizing Map Simulation , where users can alter the parameters of a neural network that estimates a probability distribution.
Many artificial networks learn from experience.
This Ruhr-Universit t Bochum, Germany, site takes you to the DemoGNG applet, with which you can experiment with various neural networks that learn. This hypertext book includes a chapter called A Self-Organizing Neural Network that Learns to Detect and Represent Visual Depth from Occlusion Events . In essence, this network learns how far away something is by seeing if it goes in front of or behind other objects. This model might suggest something about how we learn to discriminate depth as well. Biological systems can be explored through models.