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Designing Interfaces for Classes of a Neural Network Graph Model
Programming and Computer Software ( IF 0.7 ) Pub Date : 2020-12-11 , DOI: 10.1134/s036176882007004x
Yu. L. Karpov , I. A. Volkova , A. A. Vylitok , L. E. Karpov , Yu. G. Smetanin

Abstract

This paper describes an approach to testing artificial neural networks that is implemented in a C++ program as a set of data structures and algorithms for their processing. C++ classes are used as data structures that implement the processing of the following objects: vertex, edge, directed and undirected graphs, spanning tree, and circuit. Interfaces for the most important overloaded operations on these objects are described. The implementation of a testing procedure that uses overloaded operations on graph model objects is illustrated.



中文翻译:

设计神经网络图模型类的接口

摘要

本文介绍了一种测试人工神经网络的方法,该方法在C ++程序中作为一组数据结构和用于其处理的算法实现。C ++类用作实现以下对象的处理的数据结构:顶点,边,有向图和无向图,生成树和电路。描述了这些对象上最重要的重载操作的接口。说明了在图形模型对象上使用重载操作的测试过程的实现。

更新日期:2020-12-11
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