NEURAL NETWORKS IN ANALYTICAL-CHEMISTRY

被引：49

作者：

KATEMAN, G

机构：

[1] Laboratory for Analytical Chemistry, Katholieke Universiteit Nijmegen, 6525 ED Nijmegen

来源：

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS | 1993年 / 19卷 / 02期

关键词：

Neural-networks;

D O I：

10.1016/0169-7439(93)80097-2

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Neural networks are new to analytical chemistry. On the basis of models for the dissemination of new techniques it seems that no statement can be made on the acceptance of the technique. Validation and evaluation should be very rigorous, as this is one way to create confidence in the new technique.

引用

页码：135 / 142

页数：8

共 16 条

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