1.1 () www Consider the sum-of-squares error function given by (1.2) in which the function y(x,w) is...
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1.1 () www Consider the sum-of-squares error function given by (1.2) in which the function y(x,w) is given by the polynomial (1.1). Show that the coefficients w = {wi} that minimize this error function are given by the solution to the following set of linear equations M
j=0 Aijwj = Ti (1.122)
where Aij =
N n=1
(xn)i+j, Ti =
N n=1
(xn)itn. (1.123)
Here a suffix i or j denotes the index of a component, whereas (x)i denotes x raised to the power of i.
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Related Book For
Pattern Recognition And Machine Learning
ISBN: 9780387310732
1st Edition
Authors: Christopher M Bishop
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