КФУ. Карточка публикации. An Approach to Synthesis of the Neuromorphic Functional Models for Analog Components and Blocks

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AN APPROACH TO SYNTHESIS OF THE NEUROMORPHIC FUNCTIONAL MODELS FOR ANALOG COMPONENTS AND BLOCKS

Форма представления

Статьи в зарубежных журналах и сборниках

Год публикации

2022

Язык

английский

Авторы, сотрудники КФУ

Мосин Сергей Геннадьевич, автор

Библиографическое описание на языке оригинала

Mosin S., An Approach to Synthesis of the Neuromorphic Functional Models for Analog Components and Blocks//Lecture Notes in Computational Science and Engineering. - 2022. - Vol.141, Is.. - P.335-346.

Аннотация

Numerical simulation of analog circuits and functional blocks (FB) is an important design stage of analog and mixed-signal integrated circuits as well as the state-of-the-art embedded systems. The application of adequate mathematical models for components and FB defines the quality of simulation and influences the time and cost characteristics of the up-to-date microelectronic devices development process. An approach to the automated synthesis of functional models for analog components and blocks using machine learning methods—neuromorphic functional models (NFM)—is proposed in the paper. The approach implements the possibility to use either analytically defined dependencies (model-based) or dependencies obtained during natural experimental measurements (data-driven) as the raw data for the NFM synthesis. The design flow including the description of the mathematical models for an analog circuit (MMC) applying the NFMs and further numerical simulation in accordance with the assigned type of the circuit analysis is presented. The results of experimental research for a model of the semiconductor diode D1N4934 and circuits of the voltage rectifiers on its base are showed. The obtained results demonstrate the high precision of the synthesized NFM and the high quality of simulation. The comparison of obtained results with results of simulation in the Cadence CAD tools based on a structural model of the diode is performed. The simulation errors consist of less than 1% of the input signals' amplitude.

Ключевые слова

Neuromorphic models, functional blocks, numerical simulation

Название журнала

Lecture Notes in Computational Science and Engineering

URL

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85138788526&doi=10.1007%2f978-3-030-87809-2_26&partnerID=40&md5=62d2b230d7cc35f3cb67607243ad39ab

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https://repository.kpfu.ru/?p_id=272028

Полная запись метаданных

Поле DC	Значение	Язык
dc.contributor.author	Мосин Сергей Геннадьевич	ru_RU
dc.date.accessioned	2022-01-01T00:00:00Z	ru_RU
dc.date.available	2022-01-01T00:00:00Z	ru_RU
dc.date.issued	2022	ru_RU
dc.identifier.citation	Mosin S., An Approach to Synthesis of the Neuromorphic Functional Models for Analog Components and Blocks//Lecture Notes in Computational Science and Engineering. - 2022. - Vol.141, Is.. - P.335-346.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/?p_id=272028	ru_RU
dc.description.abstract	Lecture Notes in Computational Science and Engineering	ru_RU
dc.description.abstract	Numerical simulation of analog circuits and functional blocks (FB) is an important design stage of analog and mixed-signal integrated circuits as well as the state-of-the-art embedded systems. The application of adequate mathematical models for components and FB defines the quality of simulation and influences the time and cost characteristics of the up-to-date microelectronic devices development process. An approach to the automated synthesis of functional models for analog components and blocks using machine learning methods—neuromorphic functional models (NFM)—is proposed in the paper. The approach implements the possibility to use either analytically defined dependencies (model-based) or dependencies obtained during natural experimental measurements (data-driven) as the raw data for the NFM synthesis. The design flow including the description of the mathematical models for an analog circuit (MMC) applying the NFMs and further numerical simulation in accordance with the assigned type of the circuit analysis is presented. The results of experimental research for a model of the semiconductor diode D1N4934 and circuits of the voltage rectifiers on its base are showed. The obtained results demonstrate the high precision of the synthesized NFM and the high quality of simulation. The comparison of obtained results with results of simulation in the Cadence CAD tools based on a structural model of the diode is performed. The simulation errors consist of less than 1% of the input signals' amplitude.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	Neuromorphic models	ru_RU
dc.subject	functional blocks	ru_RU
dc.subject	numerical simulation	ru_RU
dc.title	An Approach to Synthesis of the Neuromorphic Functional Models for Analog Components and Blocks	ru_RU
dc.type	Статьи в зарубежных журналах и сборниках	ru_RU