Author Question: Your company wants to develop intelligent techniques to create a smart oven that can perfectly cook ... (Read 42 times)

123654777

  • Hero Member
  • *****
  • Posts: 585
Your company wants to develop intelligent techniques to create a smart oven that can perfectly cook basic foodstuffs, such as roasts and bread, using sensors and minimal input from the user.
 
  The system would know the difference between rare, medium rare, medium, and well done roasts. The category of intelligent technique that would describe this system isA) expert system.
  B) neural network.
  C) case-based reasoning.
  D) fuzzy logic.
  E) genetic algorithm.

Question 2

In the direct cutover conversion strategy, the new system
 
  A) is tested by an outsourced company.
  B) replaces the old one at an appointed time.
  C) and the old are run together.
  D) is introduced in stages.
  E) the old and new systems are run in parallel.



whitcassie

  • Sr. Member
  • ****
  • Posts: 298
Answer to Question 1

D

Answer to Question 2

B



Related Topics

Need homework help now?

Ask unlimited questions for free

Ask a Question
 

Did you know?

Malaria mortality rates are falling. Increased malaria prevention and control measures have greatly improved these rates. Since 2000, malaria mortality rates have fallen globally by 60% among all age groups, and by 65% among children under age 5.

Did you know?

Most fungi that pathogenically affect humans live in soil. If a person is not healthy, has an open wound, or is immunocompromised, a fungal infection can be very aggressive.

Did you know?

To maintain good kidney function, you should drink at least 3 quarts of water daily. Water dilutes urine and helps prevent concentrations of salts and minerals that can lead to kidney stone formation. Chronic dehydration is a major contributor to the development of kidney stones.

Did you know?

The ratio of hydrogen atoms to oxygen in water (H2O) is 2:1.

Did you know?

Dogs have been used in studies to detect various cancers in human subjects. They have been trained to sniff breath samples from humans that were collected by having them breathe into special tubes. These people included 55 lung cancer patients, 31 breast cancer patients, and 83 cancer-free patients. The dogs detected 54 of the 55 lung cancer patients as having cancer, detected 28 of the 31 breast cancer patients, and gave only three false-positive results (detecting cancer in people who didn't have it).

For a complete list of videos, visit our video library