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<html><head><title>Netlab Reference Manual rbferr</title></head><body><H1> rbferr</H1><h2>Purpose</h2>Evaluate error function for RBF network.<p><h2>Synopsis</h2><PRE>e = rbferr(net, x, t)[e, edata, eprior] = rbferr(net, x, t)</PRE><p><h2>Description</h2><CODE>e = rbferr(net, x, t)</CODE> takes a network data structure <CODE>net</CODE> together with a matrix <CODE>x</CODE> of inputvectors and a matrix <CODE>t</CODE> of target vectors, and evaluates theappropriate error function <CODE>e</CODE> depending on <CODE>net.outfn</CODE>. Each row of <CODE>x</CODE> corresponds to oneinput vector and each row of <CODE>t</CODE> contains the corresponding target vector.<p><CODE>[e, edata, eprior] = rbferr(net, x, t)</CODE> additionally returns thedata and prior components of the error, assuming a zero mean Gaussianprior on the weights with inverse variance parameters <CODE>alpha</CODE> and<CODE>beta</CODE> taken from the network data structure <CODE>net</CODE>.<p><h2>See Also</h2><CODE><a href="rbf.htm">rbf</a></CODE>, <CODE><a href="rbffwd.htm">rbffwd</a></CODE>, <CODE><a href="rbfgrad.htm">rbfgrad</a></CODE>, <CODE><a href="rbfpak.htm">rbfpak</a></CODE>, <CODE><a href="rbftrain.htm">rbftrain</a></CODE>, <CODE><a href="rbfunpak.htm">rbfunpak</a></CODE><hr><b>Pages:</b><a href="index.htm">Index</a><hr><p>Copyright (c) Ian T Nabney (1996-9)</body></html>⌨️ 快捷键说明
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