Issue with Sigmoidnet function input
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Can someone please post what sigmoidnet function, under nonlinear ARX model in the system identification toolbox, is taking as input and how it is taking a time series data?
More precisely, the function of the sigmoidnet is written below,
F(x) = (x-r)*P*L + a_1 f((x-r)*Q*b_1+c_1) + .. ... + a_n f((x-r)*Q*b_n+c_n) + d
where f is the sigmoid function and n is the number of units of the function.
But, in the above formulation, what is x? and how the regressor mean (r) is calculated?
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Roshni Garnayak
am 11 Sep. 2019
x is an m-dimensional row vector representing the regressors and r is the mean of the regressors x. To understand the structure of nonlinear ARX models, refer to pages 11-18 to 11-19 of the following documentation:
Refer to pages 11-63 to 11-64 of the above documentation for an example that preforms a low-level computation of the nonlinearity response for the “sigmoidnet” network function.
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