TRAINING TECHNIQUES FOR NEURAL-NETWORK APPLICATIONS IN ATM

被引：12
|
作者：
HIRAMATSU, A
机构：
来源：
IEEE COMMUNICATIONS MAGAZINE | 1995年 / 33卷 / 10期
关键词：
D O I：
10.1109/35.466221
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The main problems of adaptive ATM QoS control methods using neural networks were the exponentially wide range of the output target and the real-time training data sampling. But new practical techniques to overcome these problems may open new neural network applications.
引用
收藏
页码：58 / 67
页数：10
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