Title :
The study of an ATM switching architecture controlled by neural network
Author :
Jun-ku, Xu ; Yue-qiu, Han
Author_Institution :
Beijing Inst. of Technol., China
Abstract :
This paper points out the disadvantages of Banyan communication network switching realized by using usual bidirectional associative memories (BAM) neural network, and presents a method for realizing Banyan communication network switching by using adaptive and asymmetric BAM, i.e. AABAM neural network. The empirical results have shown that the new architecture is more adaptive to many arbitrary inputs patterns and the memory capacity than that of the old one, and the ability to prevent pseudo-memories has been improved
Keywords :
asynchronous transfer mode; content-addressable storage; multistage interconnection networks; neural nets; neurocontrollers; switching networks; telecommunication control; telecommunication networks; ATM switching architecture; Banyan communication network; adaptive bidirectional associative memories; assymetric bidirectional associative memories; memory capacity; neural network; Adaptive control; Associative memory; Asynchronous transfer mode; Communication networks; Communication switching; Communication system control; Magnesium compounds; Neural networks; Programmable control; Read-write memory; Switches;
Conference_Titel :
Communication Technology Proceedings, 1996. ICCT'96., 1996 International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-2916-3
DOI :
10.1109/ICCT.1996.545029
