Function learning using wavelet neural networks

被引：0
|
作者：
Shashidhara, HL [1 ]
Lohani, S [1 ]
Gadre, VM [1 ]
机构：
[1] Indian Inst Technol, Dept Elect Engn, Bombay 400076, Maharashtra, India
来源：
PROCEEDINGS OF IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY 2000, VOLS 1 AND 2 | 2000年
关键词：
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
A new architecture based on wavelets and neural networks is proposed and implemented for learning a class of functions. The performance of such networks is analyzed for function learning. These functions belong to a common class but possess minor variations. The scheme developed makes use of wavelet neural network. It is useful to have a small dimensional network that can approximate a wide class of functions. The network has two levels of freedom. By this the network not only selects the parameters of the basis wavelets but also provides a variation in the choice.
引用
收藏
页码：335 / 340
页数：6
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