From 8070dc963753142bb86c4ed698d91fd623ed28e7 Mon Sep 17 00:00:00 2001 From: ziejd2 Date: Thu, 28 Sep 2017 15:04:40 -0500 Subject: BNW using Octave instead of Matlab. This version of BNW should perform the same as the original version. The only difference is that it uses Octave instead of Matlab when running BayesNet Toolbox during parameter learning. I am calling this BNW_1.02. It can be accessed at: compbio.uthsc.edu/BNW_1.02 --- sourcecodes/bnt-master/nethelp3.3/demev3.htm | 46 ++++++++++++++++++++++++++++ 1 file changed, 46 insertions(+) create mode 100644 sourcecodes/bnt-master/nethelp3.3/demev3.htm (limited to 'sourcecodes/bnt-master/nethelp3.3/demev3.htm') diff --git a/sourcecodes/bnt-master/nethelp3.3/demev3.htm b/sourcecodes/bnt-master/nethelp3.3/demev3.htm new file mode 100644 index 00000000..55af4d64 --- /dev/null +++ b/sourcecodes/bnt-master/nethelp3.3/demev3.htm @@ -0,0 +1,46 @@ + + + +Netlab Reference Manual demev3 + + + +

demev3 +

+Purpose +

+Demonstrate Bayesian regression for the RBF. + +

+Synopsis +

+demev3

+ + +

+Description +

+The problem consists an input variable x which sampled from a +Gaussian distribution, and a target variable t generated by +computing sin(2*pi*x) and adding Gaussian noise. An RBF +network with linear outputs is trained by minimizing a sum-of-squares +error function with isotropic Gaussian regularizer, using the scaled +conjugate gradient optimizer. The hyperparameters alpha and +beta are re-estimated using the function evidence. A graph +is plotted of the original function, the training data, the trained +network function, and the error bars. + +

+See Also +

+demev1, evidence, rbf, scg, netevfwd

+Pages: +Index +