对“基于随机计算的径向基函数神经网络的数字实现”的更正[Mar 23 257-269]

IF 3.7 2区工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Journal on Emerging and Selected Topics in Circuits and Systems Pub Date : 2023-09-13 DOI:10.1109/JETCAS.2023.3287741

Alejandro Morán Costoya;Luis Parrilla Roure;Miquel Roca;Joan Font-Rossello;Eugeni Isern;Vincent Canals

引用次数: 0

摘要

在上述文章[1]中，根据我们的机构，项目资助中的文本（第一页左下角）需要稍作修改。以下文本：

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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Corrections to “Digital implementation of Radial Basis Function Neural Networks Based on Stochastic Computing” [Mar 23 257-269]

In the above article [1] , according to our institution, the text in project funding (bottom left on the first page) requires a minor modification. The following text:

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来源期刊

IEEE Journal on Emerging and Selected Topics in Circuits and Systems ENGINEERING, ELECTRICAL & ELECTRONIC-

CiteScore

8.50

自引率

2.20%

发文量

期刊介绍： The IEEE Journal on Emerging and Selected Topics in Circuits and Systems is published quarterly and solicits, with particular emphasis on emerging areas, special issues on topics that cover the entire scope of the IEEE Circuits and Systems (CAS) Society, namely the theory, analysis, design, tools, and implementation of circuits and systems, spanning their theoretical foundations, applications, and architectures for signal and information processing.