基于深度置信网络的城市经济高效预测方法研究

4区计算机科学 Q3 Computer Science

Scientific Programming Pub Date : 2023-08-02 DOI:10.1155/2023/9813802

Scientific Programming

引用次数: 0

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Retracted: Research on Urban Economic High-Performance Forecasting Method Based on Deep Confidence Network

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来源期刊

Scientific Programming 工程技术-计算机：软件工程

自引率

0.00%

发文量

1059

审稿时长

>12 weeks

期刊介绍： Scientific Programming is a peer-reviewed, open access journal that provides a meeting ground for research results in, and practical experience with, software engineering environments, tools, languages, and models of computation aimed specifically at supporting scientific and engineering computing. The journal publishes papers on language, compiler, and programming environment issues for scientific computing. Of particular interest are contributions to programming and software engineering for grid computing, high performance computing, processing very large data sets, supercomputing, visualization, and parallel computing. All languages used in scientific programming as well as scientific programming libraries are within the scope of the journal.