Generalization and learning error for nonlinear perceptron

被引：2
|
作者：
Shcherbina, M
Tirozzi, B
机构：
[1] Ukrainian Acad Sci, Inst Low Temp Phys, UA-310108 Kharkov, Ukraine
[2] Univ Roma La Sapienza, Dept Phys, Rome, Italy
来源：
MATHEMATICAL AND COMPUTER MODELLING | 2002年 / 35卷 / 3-4期
关键词：
perceptron; law large numbers; saddle point; learning;
D O I：
10.1016/S0895-7177(01)00163-7
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
A rigorous derivation of the asymptotic behaviour of learning and prediction error for the nonlinear perceptron is presented. The saddle-point method is used for evaluating these quantities. (C) 2002 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码：259 / 271
页数：13
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