通过代理模型的属性导向验证来分析递归神经网络

IF 1.1 3区计算机科学 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING

International Journal on Software Tools for Technology Transfer Pub Date : 2022-11-16 DOI:10.1007/s10009-022-00684-w

I. Khmelnitsky, D. Neider, Rajarshi Roy, Xuan Xie, Benoît Barbot, B. Bollig, A. Finkel, S. Haddad, M. Leucker, Lina Ye

引用次数: 1

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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Analysis of recurrent neural networks via property-directed verification of surrogate models

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来源期刊

International Journal on Software Tools for Technology Transfer Computer Science-Information Systems

CiteScore

4.50

自引率

6.70%

发文量

期刊介绍： The International Journal on Software Tools for Technology Transfer (STTT) provides a forum for the discussion of all aspects of tools supporting the development of computer systems. It offers, above all, a tool-oriented link between academic research and industrial practice. Tool support for the development of reliable and correct computer-based systems is of growing importance, and a wealth of design methodologies, algorithms, and associated tools have been developed in different areas of computer science. However, each area has its own culture and terminology, preventing researchers from taking advantage of the results obtained by colleagues in other fields. Tool builders are often unaware of the work done by others, and thus unable to apply it. The situation is even more critical when considering the transfer of new technology into industrial practice.