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1. What is an artificial neural network and for what typesof problems can it be used?2. Compare artificial and biological neural networks. Whataspects of biological networks are not mimicked by artificialones? What aspects are similar?3. What are the most common ANN architectures? Forwhat types of problems can they be used?4. ANN can be used for both supervised and unsupervisedlearning. Explain how they learn in a supervised modeand in an unsupervised mode.5. Go to Google Scholar (scholar.google.com). Conducta search to find two papers written in the last five yearsthat compare and contrast multiple machine-learningmethods for a given problem domain. Observe commonalitiesand differences among their findings andprepare a report to summarize your understanding.6.Go to neuroshell.com. Look at Gee Whiz examples.Comment on the feasibility of achieving the resultsclaimed by the developers of this neural network model.Need APA format.,with min 2 pages