公开(公告)号：EP1444649A1

公开(公告)日：2004-08-11

申请号：EP02761440.3

申请日：2002-08-20

申请人： Exscientia, LLC

发明人： HAMPSHIRE, John, B., II

IPC分类号： G06N3/02

CPC分类号： G06K9/628 ,  G06K9/6262 ,  G06K9/6268 ,  G06N3/0481 ,  G06N3/08

摘要： An apparatus and method for training a neural network model (21) to classify patterns (26) or to assess the value of decisions associated with patterns by comprising the actual output of the network in response to an input pattern with the desired output for that pattern on the basis of a Risk Differential Learning (RDL) objective function (28), the results of the comparison governing adjustment of the neural network model's parameters by numerical optimization. The RDL objective function includes one or more terms, each being a risk/benefit/classification figure-of-merit (RBCFM) function, which is a synthetic, monotonically non-decreasing, anti-symmetric/asymmetric, piecewise-differentiable function of a risk differential (Fig. 6), which is the difference between outputs of the neural network model produced in response to a given input pattern. Each RBCFM function has mathematical attributes such that RDL can make universal guarantees of maximum correctness/profitability and minimum complexity. A strategy for profit-maximizing resource allocation utilizing RDL is also disclosed.