### Developing a single neural network

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##### Reference no: EM1317196

A financial company hires your team in order to develop the back-propagation neural network(s) in order to predict the next-week trend of the five stocks (i.e. go up, go down, or remain the same). In meantime, the company also offers you with the data for each stock in past 15 years. Every data record contains 20 attributes (like index values, earnings per share, revenues,capital investment, and so on). Provide answer for the following questions:

1) The team member A proposes that you must develop a single neural network which may handle all these stocks. However the member B insists that you have to design the five networks (one for each stock). Whom do you think is correct and why?

2) During the training, at a particular point, you notice that error rate (of each training cycle) has been oscillating (i.e. it reduces in the round n, increases in the round n+1, and decreases again in round n+2, and so on). Specify the reason for this phenomenon and what you must do about it?

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 Regarding level of order traversal : Write down a level order traversal that does every level of the binary tree before moving on to the next level. Starting with the root add the children nodes to list. Sample size required to obtain error : What sample size would be needed to obtain an error of ±10 square millimeters with 99 percent confidence? Organizing data into a frequency distribution : Organize data into a frequency distribution. How many classes would you propose? What value would you propose for class interval? Checking normality assumption : Construct a 90 percent confidence interval for the proportion of all kernels that would not pop. Check the normality assumption. Developing a single neural network : The team member A proposes that you must develop a single neural network which may handle all these stocks. However the member B insists that you have to design the five networks (one for each stock). Calculating correlation coefficient for sample data : Calculate correlation coefficient for these sample data. Changes in income and price of goods : Suppose a consumer has a daily income of \$100 and purchases just two goods A and B.  The price of good A is \$5 and the price of good B is \$4. Mean number of letters : Find out the mean number of letters that will arrive in two days. Insurance policy-utility function : What is the highest price that you would be willing to pay for an insurance policy that fully insures you in the event that your house burns down?

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