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<html><head><title>Netlab Reference Manual mlphdotv</title></head><body><H1> mlphdotv</H1><h2>Purpose</h2>Evaluate the product of the data Hessian with a vector. <p><h2>Synopsis</h2><PRE>hdv = mlphdotv(net, x, t, v)</PRE><p><h2>Description</h2><p><CODE>hdv = mlphdotv(net, x, t, v)</CODE> takes an MLP network data structure<CODE>net</CODE>, together with the matrix <CODE>x</CODE> of input vectors, thematrix <CODE>t</CODE> of target vectors and an arbitrary row vector <CODE>v</CODE>whose length equals the number of parameters in the network, andreturns the product of the data-dependent contribution to the Hessianmatrix with <CODE>v</CODE>. The implementation is based on the R-propagationalgorithm of Pearlmutter.<p><h2>See Also</h2><CODE><a href="mlp.htm">mlp</a></CODE>, <CODE><a href="mlphess.htm">mlphess</a></CODE>, <CODE><a href="hesschek.htm">hesschek</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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