Affiliation:
1. Lviv Polytechnic National University
Abstract
A model of parallel sorting neural network of discrete-time is presented. The model is described by a system of differential equations and by step functions. The network has high speed, any finite resolution of input data and it can process unknown input data of finite values located in arbitrary finite range. The network is characterized by moderate computational complexity and complexity of hardware implementation. The results of computer simulation illustrating the efficiency of the network are provided.
Publisher
Lviv Polytechnic National University
Cited by
1 articles.
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