Cumberland University ANN Architectures - What is an artificial neural network

Description

Part1:Discussion Question #1: What is an artificial neural network and for what type of problem can it be used for?

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

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

Discussion Question #4: ANN can be used be used for both supervised and unsupervised learning. Explain how they learn in a supervised mode and in an unsupervised mode.

Part2:

Exercise #6: 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 commonalities and differences among their findings and prepare a report to summarize your understanding.

Internet Exercise #7: 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.

TextBook: Analytics, Data Science, & Artificial Intelligence 11th edition

Need 1page answer for Part1 and 2pages for part2 questions and no plagiarism and no copy and paste sentence directly from any website. if using online source then should Rephrase the sentence and cite them according to APA format and mention the reference at end of document.

Need Part1 and Part2 works in separate word files.

When submitting work, be sure to include an APA cover page and include at least two APA formatted references (and APA in-text citations) to support the work .