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The technique of complex redundancy for asynchronous neural networks


A.N. Kamenskih – Post-graduate Student, Assistant, Faculty of Electrical Engineering, Department of Automation andelemechanics, Perm National Research Polytechnic University. E-mail: S.F. Tyurin – Dr.Sc. (Eng.), Professor, Faculty of Electrical Engineering, Department of Automation and tele-mechanics, 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 asynchronous neural networks development are described. In the result of analysis, the conclusion is drawn that the development of special methods of redundancy for asynchronous neural networks is needed to provide passive fault-tolerance. The n-of-m redundancy and redundancy at transistor level is used as basic methods. In the first part, the features of asynchronous neural networks are described, and the problems of implementation of redundancy methods are analyzed. In the second part, the technique of combined redundancy is proposed. This technique improve both energy-efficiency and reliability of designed device. The technique use combination of existing redundancy methods. Each methods uses in the unit there it using most efficient. In conclusion, the assessment of proposed technique is given. The future fields for research are designated.


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