Adaptive-neuron artificial neural network features

被引：0
|
作者：
Zhang, M [1 ]
Xu, SX [1 ]
Fulcher, J [1 ]
机构：
[1] Christopher Newport Univ, PCSE, Newport News, VA 23606 USA
来源：
IC-AI '04 & MLMTA'04 , VOL 1 AND 2, PROCEEDINGS | 2004年
关键词：
adaptive-neuron; neural network; features; approximation capabilities;
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：
A new neural network model - called Adaptive-Neuron artificial neural Network (NAN) - is developed. An empirical justification of the neuron-adaptive activation function is given. The approximation ability of this NAN model to any continuous function is presented. Next, we prove that a NAN can approximate any piecewise continuous function to any desired accuracy, then relate the approximation properties of NAN models to some special mathematical functions.
引用
收藏
页码：119 / 125
页数：7
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