Complete the following assignments in one MS word document:
1. What is an artificial neural network and for what types of problems can it be used?
2. Compare artificial and biological neural networks. What aspects of biological networks are not mimicked by artificial ones? What aspects are similar?
3. What are the most common ANN architectures? For what types of problems can they be used?
4. ANN can be used for both supervised and unsupervised learning. Explain how they learn in a supervised mode and in an unsupervised mode.
5. 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.
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Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Artificial Neural Networks: Types, Architectures, Learning Modes and Applications
1. Complete the following assignments in one MS word document:
1. What is an artificial neural network and for what types of
problems can it be used?
2. Compare artificial and biological neural networks. What
aspects of biological networks are not mimicked by artificial
ones? What aspects are similar?
3. What are the most common ANN architectures? For what
types of problems can they be used?
4. ANN can be used for both supervised and unsupervised
learning. Explain how they learn in a supervised mode and in an
unsupervised mode.
5. 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.
