type_gconfidencesearch.html

来自「一个由Mike Gashler完成的机器学习方面的includes neural」· HTML 代码 · 共 30 行

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<html><head><title>Generated Documentation</title></head><body>	<image src="headerimage.png">	<br><br><table><tr><td><big><big><big style="font-family: arial;"><b>GConfidenceSearch</b></big></big></big><br>extends <a href="type_GRealVectorSearch.html">GRealVectorSearch</a><br></td><td> This is still an experimental algorithm. It's designed to search complex hypersurfaces by optimizing between exploration and exploitation using the intersection of Gaussians extending from known points as a guide</td></tr></table><br><br><big><big><i>Constructors (public)</i></big></big><br><div style="margin-left: 40px;"><big><b>GConfidenceSearch</b></big>(<a href="type_GRealVectorCritic.html">GRealVectorCritic</a>* pCritic, double dMin, double dRange, double dThoroughness)<br></div><br><big><big><i>Destructors</i></big></big><br><div style="margin-left: 40px;"><big><b>~GConfidenceSearch</b></big>()<br></div><br><big><big><i>Public</i></big></big><br><div style="margin-left: 40px;">void <big><b>Iterate</b></big>()<br></div><br><big><big><i>Protected</i></big></big><br><div style="margin-left: 40px;">double <big><b>AddPoint</b></big>(double* pPoint)<br>void <big><b>AddSearchArea</b></big>(double* ppNeighbors)<br>double <big><b>ComputeOptimisticSearchPointError</b></big>(double* pSearchPoint, double* pNeighbor)<br>double <big><b>MeasureDistanceSquared</b></big>(double* pPoint1, double* pPoint2)<br></div><br></body></html>

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