Having multiple perceptrons can actually solve the XOR problem satisfactorily: this is because each perceptron can partition off a linear part of the space itself, and they can then combine their results.
A. True - this works always, and these multiple perceptrons learn to classify even complex problems
B. False - perceptrons are mathematically incapable of solving linearly inseparable functions, no matter what you do
C. True - perceptrons can do this but are unable to learn to do it - they have to be explicitly hand-coded
D. False - just having a single perceptron is enough
Answer: Option C
This Question Belongs to Computer Science >> Artificial Intelligence
What is the term used for describing the judgmental or commonsense part of problem solving?
A. Heuristic
B. Critical
C. Value based
D. Analytical
E. None of the above
What stage of the manufacturing process has been described as "the mapping of function onto form"?
A. Design
B. Distribution
C. project management
D. field service
E. None of the above
Which kind of planning consists of successive representations of different levels of a plan?
A. hierarchical planning
B. non-hierarchical planning
C. All of the above
D. project planning
E. None of the above
What was originally called the "imitation game" by its creator?
A. The Turing Test
B. LISP
C. The Logic Theorist
D. Cybernetics
E. None of the above
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