Design and application of a programmable matrix determinant-solving circuit based on memristors
Author:
Publisher
Science China Press., Co. Ltd.
Subject
Engineering (miscellaneous),General Computer Science
Link
https://engine.scichina.com/doi/pdf/D7A30DF35DAE4039B71CCBBC1667D557
Reference25 articles.
1. Hong Q, Shi Z, Sun J. Memristive self-learning logic circuit with application to encoder and decoder. Neural Comput Applic, 2021, 33: 4901-4913.
2. Hashemian R. Quick Access to Circuit Transfer Functions via NAM Determinant/Cofactors Using UaL Technique. IEEE Trans Circuits Syst II, 2022, 69: 689-693.
3. Meng Q, Zheng Y, Jiang Z. Determinants and inverses of weighted Loeplitz and weighted Foeplitz matrices and their applications in data encryption. J Appl Math Comput, 2022, 68: 3999-4015.
4. Granziol D, Ru B, Zohren S. MEMe: An Accurate Maximum Entropy Method for Efficient Approximations in Large-Scale Machine Learning. Entropy, 2019, 21:
5. Zhu A, Jin P, Tang Y. Approximation capabilities of measure-preserving neural networks. Neural Networks, 2022, 147: 72-80.
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