5.The KM algorithms inspired by biology that examine optimal solutions for a giv

Question

5.The KM algorithms inspired by biology that examine optimal solutions for a given problem based on big data are called ________. A. the Internet B. virtual reality C. fuzzy logic D. 3D modeling E. genetic algorithms 6.Neural networks have been used to distinguish between valid and fraudulent credit purchases because they can ________. A. learn from patterns in data B. use the Internet C. retain a valid card D. create an Intranet E. delete a fraudulent card 7.Not allowing credit if an individual's credit score is below 600 is an example of a(n) ________ decision. A. structured B. poor C. semistructured D. unstructured E. networking

Explanation / Answer

5. The answer is “genetic algorithms”. Genetic algorithms initially consisted of an input population of individuals encoded as fixed-length bit strings, the genetic operators mutation (bit flips) and recombination (combination of a prefix of a parent with the suffix of the other), and a problem-dependent fitness function.

6. The answer is “learn from patterns in data”. Neural network uses the rules that it learns from patterns in data in order to construct a hidden layer of logic.

7. The answer is “structured”. A structured decision is one in which the phases of the decision-making process (intelligence, design, and choice) have standardized procedures, clear objectives, and clearly specified input and output. In this case there is no role of human intuition and so if credit score is below 600 then the standardized procedure is to deny credit.

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