КФУ. Карточка публикации. An approach to reducing complexity of neuromorphic fault dictionary construction for analogue integrated circuits

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AN APPROACH TO REDUCING COMPLEXITY OF NEUROMORPHIC FAULT DICTIONARY CONSTRUCTION FOR ANALOGUE INTEGRATED CIRCUITS

Форма представления

Статьи в зарубежных журналах и сборниках

Год публикации

2018

Язык

английский

Авторы, сотрудники КФУ

Мосин Сергей Геннадьевич, автор

Библиографическое описание на языке оригинала

Mosin S., An approach to reducing complexity of neuromorphic fault dictionary construction for analogue integrated circuits//2018 28th International Conference Radioelektronika, RADIOELEKTRONIKA 2018. - 2018. - Vol., Is.. - P.1-6.

Аннотация

This paper is mainly focused on the reducing a complexity of fault dictionary constructing for analog integrated circuits based on neural network. The benefits of fault dictionary based on neural network (NN) such as associative operating mode and small influence of the number of considered faults on the NN architecture are presented. The problems of constructing the neuromorphic fault dictionary in the aspect of big data are discussed. The approach to selection the essential characteristics of controlled parameters during testing and fault diagnostics as well as to reduction of the training set dimension is proposed. The principal component analysis and criterion based on the explained residual variance are applied for reduction the number of coefficients used for the neural network training. The decomposition of design flow corresponding to the proposed approach is presented. The experimental results demonstrates efficiency as the time and computational cost reduction.

Ключевые слова

neuromorphic fault dictionary, principal component analysis, analog circuits, design-for-testability, testing and diagnostics

Название журнала

2018 28th International Conference Radioelektronika, RADIOELEKTRONIKA 2018

URL

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85050003918&doi=10.1109%2fRADIOELEK.2018.8376404&partnerID=40&md5=9c3a5d68d412978f5b6ad12f1190dfbf

Пожалуйста, используйте этот идентификатор, чтобы цитировать или ссылаться на эту карточку

https://repository.kpfu.ru/?p_id=185201

Полная запись метаданных

Поле DC	Значение	Язык
dc.contributor.author	Мосин Сергей Геннадьевич	ru_RU
dc.date.accessioned	2018-01-01T00:00:00Z	ru_RU
dc.date.available	2018-01-01T00:00:00Z	ru_RU
dc.date.issued	2018	ru_RU
dc.identifier.citation	Mosin S., An approach to reducing complexity of neuromorphic fault dictionary construction for analogue integrated circuits//2018 28th International Conference Radioelektronika, RADIOELEKTRONIKA 2018. - 2018. - Vol., Is.. - P.1-6.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/?p_id=185201	ru_RU
dc.description.abstract	2018 28th International Conference Radioelektronika, RADIOELEKTRONIKA 2018	ru_RU
dc.description.abstract	This paper is mainly focused on the reducing a complexity of fault dictionary constructing for analog integrated circuits based on neural network. The benefits of fault dictionary based on neural network (NN) such as associative operating mode and small influence of the number of considered faults on the NN architecture are presented. The problems of constructing the neuromorphic fault dictionary in the aspect of big data are discussed. The approach to selection the essential characteristics of controlled parameters during testing and fault diagnostics as well as to reduction of the training set dimension is proposed. The principal component analysis and criterion based on the explained residual variance are applied for reduction the number of coefficients used for the neural network training. The decomposition of design flow corresponding to the proposed approach is presented. The experimental results demonstrates efficiency as the time and computational cost reduction.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	neuromorphic fault dictionary	ru_RU
dc.subject	principal component analysis	ru_RU
dc.subject	analog circuits	ru_RU
dc.subject	design-for-testability	ru_RU
dc.subject	testing and diagnostics	ru_RU
dc.title	An approach to reducing complexity of neuromorphic fault dictionary construction for analogue integrated circuits	ru_RU
dc.type	Статьи в зарубежных журналах и сборниках	ru_RU