Application of bionic models for situation management; CEUR Workshop Proceedings; Vol. 2763 : Computing in Physics and Technology 2020 (CPT2020)

Application of bionic models for situation management; CEUR Workshop Proceedings; Vol. 2763 : Computing in Physics and Technology 2020 (CPT2020)

Dettagli Bibliografici
Parent link:CEUR Workshop Proceedings: Online Proceedings for Scientific Conferences and Workshops
Vol. 2763 : Computing in Physics and Technology 2020 (CPT2020).— 2020.— [5 p.]
Autore principale: Gerget O. M. Olga Mikhailovna
Enti autori: Национальный исследовательский Томский политехнический университет Инженерная школа информационных технологий и робототехники, Национальный исследовательский Томский политехнический университет Школа базовой инженерной подготовки
Altri autori: Markova N. A. Natalia Aleksandrovna
Riassunto:Title screen
he article discusses the concept of choosing the sequence of control actions in order to minimize the possibility of the system statetransition to an adverse one. For this purpose, the bionic model based on the synthesis of information approach, neural networks anda genetic algorithm is developed. The functionality of each of the model elements and their interaction are presented in this paper.Special attention is paid to neuroevolutionary interaction. At the same time, information about control actions is encapsulated in thegene, which allowed increasing the functionality of the algorithm due to multidimensional data representation. The article describesthe principle of data representation in bionic models, which differs from the existing ones by the possibility of explicit or implicitrepresentation of the control action in the chromosome. In the explicit representation one neural network is formed, it describes theeffect of any of the control actions involved in the training. An implicit view creates a set of models, each of which describes the effectof only one control action. A brief description of the software implemented in the Python programming language is provided.
Lingua:inglese
Pubblicazione: 2020
Serie:Plenary Session
Soggetti:
электронный ресурс
труды учёных ТПУ
information approach
neural networks
genetic algorithm
bionic model
choice of control actions
нейронные сети
бионические методы
Accesso online:http://ceur-ws.org/Vol-2763/CPT2020_paper_p-2.pdf
Natura: Elettronico Capitolo di libro
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=663076

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