Rapid design of neural networks for time series prediction

被引：22
|
作者：
Drossu, R [1 ]
Obradovic, Z [1 ]
机构：
[1] WASHINGTON STATE UNIV,SCH ELECT ENGN & COMP SCI,PULLMAN,WA 99164
来源：
IEEE COMPUTATIONAL SCIENCE & ENGINEERING | 1996年 / 3卷 / 02期
基金：
美国国家科学基金会;
关键词：
D O I：
10.1109/99.503317
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Can a neural network be rapidly designed to predict a time series? Stochastic analysis can provide some initial knowledge about an appropriate NN architecture, parameter values, and data sampling rate. Such rapidly devised neural networks ar not optimal, but still perform similarly to NNs designed more elaborately through expensive trial-and-error procedures.
引用
收藏
页码：78 / 89
页数：12
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