What are the most common ann architectures


Discussion Post: Business Intelligence

• 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 commonalities and differences among their findings and prepare a report to summarize your understanding.

• Go to neuroshell website. Look at Gee Whiz's 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 double-space, Times New Roman 12 pnt font, one-inch margins, and APA style of writing and citations.

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