Reference no: EM132913154

Question 1: What is an artificial neural network and for what types of problems can it be used?

Question 2: Compare artificial and biological neural networks. What aspects of biological networks are not mimicked by artificial ones? What aspects are similar?

Question 3: What are the most common ANN architectures? For what types of problems can they be used?

Question 4: 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 (scholar.google.com). 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.

Question 5:  Go to neuroshell.com. Look at Gee Whiz examples. Comment on the feasibility of achieving the results claimed by the developers of this neural network model.