Question: 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.
Options
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
Neural Networks - 2 more questions
What are the limitations of the semantic networks?
Which of the following is an extension of the semantic....
___ is/are the well known Expert System/s for medical diagnosis....
A perceptron adds up all the weighted inputs it receives,....
Autonomous Question/Answering systems are __
The network that involves backward links from output to the....
There are primarily two modes for an inference engine: forward....
What are the main components of the expert systems?
What is the name of the function in the following....
Which of the following are the applications of Expert systems?
Constraints Satisfaction Problems more Online Exam Quiz
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