КФУ. Карточка публикации. Program for structural classification analysis and prediction of variation data series in the study of the technology life cycle

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PROGRAM FOR STRUCTURAL CLASSIFICATION ANALYSIS AND PREDICTION OF VARIATION DATA SERIES IN THE STUDY OF THE TECHNOLOGY LIFE CYCLE

Форма представления

Российские патенты

Год публикации

2018

Язык

русский

Авторы, сотрудники КФУ

Камаев Булат Наилевич, автор

Садриев Азат Рафаилович, автор

Библиографическое описание на языке оригинала

RU 2018664909 Program for structural classification analysis and prediction of variation data series in the study of the technology life cycle / Kamaev B.N, Sadriev A.R. -№ RU 2018664909, 06.11.2018

Аннотация

The program is designed to analyze patent and publication information reflecting the stage of development of various technologies. The functionality of the program provides automation of procedures for identifying the existing stages of market maturity of technologies and developing forecasts for their prospective market positioning. Retrospective analysis algorithms are based on the methodology of machine learning with the technique of cluster-classification algorithms, adapted to identify patterns in the development of a particular technology and link them with the concept of the product life cycle. The functional of the predictive model for identifying the dynamics of the market positioning of technology for 10 years ahead is implemented on a methodological platform of artificial neural networks. Program scope: management decision support in the implementation of innovation.

Ключевые слова

life-cycle assessment, technology, economic growth

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https://repository.kpfu.ru/?p_id=200660

Полная запись метаданных

Поле DC	Значение	Язык
dc.contributor.author	Камаев Булат Наилевич	ru_RU
dc.contributor.author	Садриев Азат Рафаилович	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	RU 2018664909 Program for structural classification analysis and prediction of variation data series in the study of the technology life cycle / Kamaev B.N, Sadriev A.R. -№ RU 2018664909, 06.11.2018	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/?p_id=200660	ru_RU
dc.description.abstract	The program is designed to analyze patent and publication information reflecting the stage of development of various technologies. The functionality of the program provides automation of procedures for identifying the existing stages of market maturity of technologies and developing forecasts for their prospective market positioning. Retrospective analysis algorithms are based on the methodology of machine learning with the technique of cluster-classification algorithms, adapted to identify patterns in the development of a particular technology and link them with the concept of the product life cycle. The functional of the predictive model for identifying the dynamics of the market positioning of technology for 10 years ahead is implemented on a methodological platform of artificial neural networks. Program scope: management decision support in the implementation of innovation.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	life-cycle assessment	ru_RU
dc.subject	technology	ru_RU
dc.subject	economic growth	ru_RU
dc.title	Program for structural classification analysis and prediction of variation data series in the study of the technology life cycle	ru_RU
dc.type	Российские патенты	ru_RU