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Application of Bionic Models for Situation Management

EasyChair Preprint no. 3984

5 pagesDate: July 31, 2020


The article discusses the concept of choosing the sequence of control actions in order to minimize the possibility of the system state transition to an adverse one. For this purpose, the bionic model based on the synthesis of information approach, neural networks and a 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. A brief description of the software implemented in the Python programming language is provided.

Keyphrases: bionic model, choice of control actions, Genetic Algorithm, information approach, neural networks

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Olga Gerget and Nataliia Markova},
  title = {Application of Bionic Models for Situation Management},
  howpublished = {EasyChair Preprint no. 3984},

  year = {EasyChair, 2020}}
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