OPTICAL SELF-ROUTING COMPLEX NEURAL-NETWORK USING MIXED NEGABINARY NUMBERS

被引：0

作者：

LIU, L

LI, GQ

SHAO, L

YIN, YZ

机构：

来源：

OPTICAL COMPUTING | 1995年 / 139卷

关键词：

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

A general neural unit with only a complex-valued matrix depicting the integrated synaptic connection and lateral interaction is proposed. Various connections can be self-routed by the routing code contained in the input. Based on the mixed negabinary system, an inner-product algorithm is developed to calculate the complex matrix-vector multiplication without carries, signs, and decimal points. An incoherent optical correlator with spatial coding is suggested to execute the algorithm in parallel.

引用

页码：459 / 462

页数：4

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