Study of Neural Network Control Stability Based on Mixed Linear Integer Programming-Reference-Cited by-同舟云学术

Study of Neural Network Control Stability Based on Mixed Linear Integer Programming

Published:2022-11-09 Issue: Volume: Page:
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Container-title:2022 4th International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA)
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Author:

Khapkin Dmitry¹,Feofilov Sergey¹,Kozyr Andrey¹

Affiliation:

1. Tula State University,dept. of Automatic control systems,Tula,Russia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9973814/9973434/09973848.pdf?arnumber=9973848

Reference10 articles.

1. Differentiable convex optimization layers;agrawal;Advances in neural information processing systems,2019

2. SCIP: global optimization of mixed-integer nonlinear programs in a branch-and-cut framework

3. Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks

4. Analysis of artificial neural network training methods;feofilov;Informatics problems methods technologies Proceedings of the XXI International Scientific and Methodological Conference,2021

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