RBF NETWORK WITH TWO TIME SERIES IN INPUT LAYER

被引：0

作者：

Kotillova, Alexandra ^{[1
]}

机构：

[1] Univ Zilina, Fac Management Sci & Informat, Dept Macro & Microecon, Zilina 01026, Slovakia

来源：

16TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING MENDEL 2010 | 2010年

关键词：

RBF networks; Gaussian activation function; K-means clustering algorithm; back-propagation;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The methods of RBF neural network are applied to several time series. The paper undertakes an estimation of values of natural person income tax from dependent work. It describes the influence of gross wage and employment on final tax revenue. In this work I will evaluate on RBF neural network with two input time series sensitivity of number of neurons of hidden layer, size of validation set and training rate for given data samples.

引用

页码：293 / 297

页数：5

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