Answer the following questions about the RBF and MLP neural network: a) In modelling of a nonlinear function using the MLP and RBF neural networks, which network has the more capability of extrapolation (extending the modeling outside the input data space)? Why? b) In the RBF neural network, state two advantages of adding the variance parameter to the neurons' Gaussian functions.

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Answer the following questions about the RBF and MLP neural network:
a) In modelling of a nonlinear function using the MLP and RBF neural networks, which network has the more
capability of extrapolation (extending the modeling outside the input data space)? Why?
b) In the RBF neural network, state two advantages of adding the variance parameter to the neurons' Gaussian
functions.
Transcribed Image Text:Answer the following questions about the RBF and MLP neural network: a) In modelling of a nonlinear function using the MLP and RBF neural networks, which network has the more capability of extrapolation (extending the modeling outside the input data space)? Why? b) In the RBF neural network, state two advantages of adding the variance parameter to the neurons' Gaussian functions.
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