Modular neural networks for solving high complexity tasks

被引：0
|
作者：
El-Bakry, HM [1 ]
Abo-Elsoud, MA [1 ]
Kamel, MS [1 ]
机构：
[1] Mansoura Univ, Fac Comp Sci & Informat Syst, Mansoura, Egypt
来源：
ISCAS 2000: IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS - PROCEEDINGS, VOL III: EMERGING TECHNOLOGIES FOR THE 21ST CENTURY | 2000年
关键词：
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, we introduce a powerful solution for complex problems which required to be solved using neural nets. This is done by using modular neural nets (MNNs) that divide the input space into several homogenous regions. Such approach is applied to implement XOR functions, 16 logic function on one bit level, and 2-bit digital multiplier. Compared to previous non-modular designs, a salient reduction in the order of computations and hardware requirements is obtained.
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页码：555 / 558
页数：4
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