Neural 2.00 - A program for neural net and statistical pattern recognition

被引：2
|
作者：
Odorico, R [1 ]
机构：
[1] IST NAZL FIS NUCL,I-40126 BOLOGNA,ITALY
来源：
COMPUTER PHYSICS COMMUNICATIONS | 1996年 / 96卷 / 2-3期
关键词：
neural nets; learning vector quantization; back propagation; multilayered perceptron; feed forward networks; statistical discrimination; pattern classification;
D O I：
10.1016/0010-4655(96)00010-0
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
A neural net program for pattern classification is presented, which includes: i) an improved version of Kohonen's learning vector quantization (LVQ with training count); ii) feed-forward neural networks with back-propagation training; iii) Gaussian (or Mahalanobis distance) classification; iv) Fisher linear discrimination. Back-prop trainings with emulations of Intel's ETANN and Siemens' MA16 neural chips are available as options. The program has been developed for high energy physics applications.
引用
收藏
页码：314 / 330
页数：17
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