FREQUENCY-DIVISION MULTIPLEXING IN ANALOG NEURAL NETWORK

被引：8

作者：

CRAVEN, MP

CURTIS, KM

HAYESGILL, BR

机构：

[1] Department of Electrical and Electronic Engineering, University of Nottingham, Nottingham

来源：

ELECTRONICS LETTERS | 1991年 / 27卷 / 11期

关键词：

NEURAL NETWORKS; MULTIPLEXING;

D O I：

10.1049/el:19910575

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：

Frequency division multiplexing has been studied as a means of communication between neural layers in an analogue multilayered perceptron neural network architecture, trained using the back-propagation learning algorithm. Simulation results on network learning and generalisation show that the neural network is tolerant to as much as 50% overlap of frequency responses of filters used in demultiplexing. Thus, the number of communication channels available is considerably increased.

引用

页码：918 / 920

页数：3