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Information × Registration Number 0308U001195, 0105U008182 , R & D reports Title Development and research of recognition techniques of multi-sensors output signal using artificial neural networks. popup.stage_title Розробка і дослідження технологій розпізнавання вихідного сигналу багатопараметричних сенсорів з використанням штучних нейронних мереж Head Sachenko Anatolyi Alekseevich, Registration Date 29-01-2008 Organization Ternopol National Economic University popup.description2 The object of the much parametricheskie sensory. A research purpose is: development and experimental research of neyromerezhevikh methods of recognition: descriptions of transformation a lot of parametricheskikh sensorov with high exactness on the base of a few of results of experimental researches, different physical sizes on the basis of initial signal of mnogoparametricheskogo sensora, that provide high exactness; . the choice of structure of the intellectual distributed system of processing of data a lot of parametricheskikh sensorov, that provides implementation of afore-mentioned methods; creation universal vehicles and programmatic component of the intellectual distributed system of processing of data a lot of parametricheskikh sensorov; testing of the developed methods and created vehicle-programmatic component. Results and their novelty: the neyromerezhevi methods of recognition of description of transformation of mnogoparametricheskogo sensora and physical sizes are created on the basis of his output signal; mathematical models of mnogoparametricheskogo sensora; structure and intellectual distributed system of treatment of these mnogoparametricheskikh sensorov software. Testing and verifikatsiya of the system.5635 Product Description popup.authors popup.nrat_date 2020-04-02 Close
R & D report
Head: Sachenko Anatolyi Alekseevich. Development and research of recognition techniques of multi-sensors output signal using artificial neural networks.. (popup.stage: Розробка і дослідження технологій розпізнавання вихідного сигналу багатопараметричних сенсорів з використанням штучних нейронних мереж). Ternopol National Economic University. № 0308U001195
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Updated: 2026-03-20