Neural network models are different from the conventional computer in that
A) neural networks can make inferences without being given specific rules.
B) they are symbol-based models.
C) they need specific rules in order to make inferences.
D) they are perfect analogies for human thought processes.
Correct Answer:
Verified
Q25: "Black Box" implies
A) one reaches a dead
Q26: Computer simulation is used to
A) improve computer
Q27: If a machine produces correct responses for
Q28: A serial computer
A) carries out a number
Q29: Viewing computer capability as cognitive brute force
Q30: Walking is an example of
A) implicit learning.
B)
Q31: Like humans, neural networks can
A) make inferences
Q32: A type of processing that allows computers
Q33: What kind of computer might most closely
Q34: A connectionist model assumes that
A) all information
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