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<html><head><title>Netlab Reference Manual errbayes</title></head><body><H1> errbayes</H1><h2>Purpose</h2>Evaluate Bayesian error function for network.<p><h2>Synopsis</h2><PRE>e = errbayes(net, edata)[e, edata, eprior] = errbayes(net, edata)</PRE><p><h2>Description</h2><CODE>e = errbayes(net, edata)</CODE> takes a network data structure <CODE>net</CODE> together the data contribution to the error for a set of inputs and targets.It returns the regularised error using any zero mean Gaussian priorson the weights defined in<CODE>net</CODE>. <p><CODE>[e, edata, eprior] = errbayes(net, x, t)</CODE> additionally returns thedata and prior components of the error.<p><h2>See Also</h2><CODE><a href="glmerr.htm">glmerr</a></CODE>, <CODE><a href="mlperr.htm">mlperr</a></CODE>, <CODE><a href="rbferr.htm">rbferr</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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