A single-layer asymmetric RNN with low hardware complexity for solving linear equations

Author:

Ansari Mohammad Samar

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference42 articles.

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2. A noise-suppressing neural algorithm for solving the time-varying system of linear equations: A control-based approach;Jin;IEEE Trans. Industr. Inf.,2018

3. DVCC-based non-linear feedback neural circuit for solving system of linear equations;Ansari;Circuits Syst. Signal Process.,2011

4. A neural circuit with transcendental energy function for solving system of linear equations;Rahman;Analog Integr. Circ. Sig. Process,2011

5. Convergence properties analysis of gradient neural network for solving online linear equations;Zhang;Acta Automatica Sinica,2009

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