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The analysis of asynchronous neural networks in terms of validity


A.N. Kamenskih – Post-graduate Student, Assistant, Faculty of Electrical Engineering, Department of Automation and Telemechanics, Perm National Research Polytechnic University. E-mail:

The paper contain introduction, two main parts and conclusions. In introduction, the main results from up-to-date scientific works in the field of development of asynchronous neural networks and improvement of reliability of neural networks are described. The technique of validity estimation is need for developers of asynchronous neural networks because the methods of reliability improvement should be chosen very carefully with taking into account all-important parameters. In first part, self-timed approach and self-timed circuits is analyzed in terms of reliability and validity. In second part, validity of operation of asynchronous neural networks is calculated and analyzed. In conclusion, the complex redundancy can be used to improve reliability of asynchronous neural network in some range.


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