📄 rbfunpak.htm
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<html><head><title>Netlab Reference Manual rbfunpak</title></head><body><H1> rbfunpak</H1><h2>Purpose</h2>Separates a vector of RBF weights into its components.<p><h2>Synopsis</h2><PRE>net = rbfunpak(net, w)</PRE><p><h2>Description</h2><CODE>net = rbfunpak(net, w)</CODE> takes an RBF network data structure <CODE>net</CODE> and a weight vector <CODE>w</CODE>, and returns a network data structure identical tothe input network, except that the centres<CODE>c</CODE>, the widths <CODE>wi</CODE>, the second-layerweight matrix <CODE>w2</CODE> and the second-layer bias vector <CODE>b2</CODE> have allbeen set to the corresponding elements of <CODE>w</CODE>.<p><h2>See Also</h2><CODE><a href="rbfpak.htm">rbfpak</a></CODE>, <CODE><a href="rbf.htm">rbf</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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