Problem
• What is an artificial neural network and for what types of problems can it be used?
• Compare artificial and biological neural networks. What aspects of biological networks are not mimicked by artificial ones? What aspects are similar?
• What are the most common ANN architectures? For what types of problems can they be used?
• ANN can be used for both supervised and unsupervised learning. Explain how they learn in a supervised mode and in an unsupervised mode.
Go to Google Scholar. Conduct a search to find two papers written in the last five years that compare and contrast multiple machine-learning methods for a given problem domain. Observe com-monalities and differences among their findings and prepare a report to summarize your understanding.
• Go to neuroshell website. Look at Gee Whiz examples. Comment on the feasibility of achieving the results claimed by the developers of this neural network model.
The response should include a reference list. Using one-inch margins, Times New Roman 12 pnt font, double-space and APA style of writing and citations.