Part 1 assignment
End-of-Chapter Application Case
Why is beer flavor important to Coors’ profitability?
What is the objective of the neural network used at Coors?
Why were the results of Coors’ neural network initially poor, and what was done to improve the results?
What benefits might Coors derive if this project is successful?
What modifications would you make to improve the results of beer flavor prediction?
Sources: Compiled from C. I. Wilson and L. Threapleton, “Application of Artificial Intelligence for Predicting Beer Flavours from Chemical Analysis,” Proceedings of the 29th European Brewery Congress, Dublin, Ireland, May 17–22, 2003, neurosolutions.com/resources/apps/beer.html (accessed February 2013); and R. Nischwitz, M. Goldsmith, M. Lees, P. Rogers, and L. MacLeod, “Developing Functional Malt Specifications for Improved Brewing Performance,” The Regional Institute Ltd., regional.org.au/au/abts/1999/nischwitz.htm (accessed February 2013)
APA format, Use the APA template located in the Student Resource Center to complete the assignment.
part 2 discussion questions 100 words
1.The performance of ANN relies heavily on the summation and transformation functions. Explain the combined effects of the summation and transformation functions and how they differ from statistical regression analysis.
ANN can be used for both supervised and unsupervised learning. Explain how they learn in a supervised mode and in an unsupervised mode.
2.Explain the difference between a training set and a testing set. Why do we need to differentiate them? Can the same set be used for both purposes? Why or why not?
Do you need a similar assignment done for you from scratch? We have qualified writers to help you. We assure you an A+ quality paper that is free from plagiarism. Order now for an Amazing Discount!Use Discount Code “Newclient” for a 15% Discount!NB: We do not resell papers. Upon ordering, we do an original paper exclusively for you.