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NEW QUESTION: 1
Neural networks are effective in detecting fraud because they can:
A. solve problems where large and general sets of training data are not obtainable.
B. attack problems that require consideration of a large number of input variables.
C. make assumptions about the shape of any curve relating variables to the output.
D. discover new trends since they are inherently linear.
Answer: B
Explanation:
Explanation/Reference:
Explanation:
Neural networks can be used to attack problems that require consideration of numerous input variables.
They are capable of capturing relationships and patterns often missed by other statistical methods, but they will not discover new trends. Neural networks are inherently nonlinear and make no assumption about the shape of any curve relating variables to the output. Neural networks will not work well at solving problems for which sufficiently large and general sets of training data are not obtainable.

NEW QUESTION: 2
DRAG DROP




Answer:
Explanation:

NEW QUESTION: 3
In a purchase order application, the product selection form should provide the list of all products from which a user should select. The field should display the product name, however on selection, the system should store the Product ID as its value.
Of the following Ul control, which is best suited for this functionality1? (Choose One)
A. DynamicSelect control
B. PromptSelect control
C. AutoComplete control
D. Dropdown control
Answer: D