Степанова, Евгения Игоревна. Разработка программных средств прогноза температурных параметров паровой турбины на основе алгоритмов машинного обучения: выпускная квалификационная работа магистра: направление 27.04.04 «Управление в технических системах» ; образовательная программа 27.04.04_07 «Распределенные интеллектуальные системы управления» = Development of software tools for forecasting the temperature parameters of a steam turbine based on machine learning algorithms / Е. И. Степанова; Санкт-Петербургский политехнический университет Петра Великого, Институт компьютерных наук и технологий ; научный руководитель В. Н. Хохловский ; консультант по нормоконтролю Е. Н. Селиванова. — Санкт-Петербург, 2020. — 1 файл (4,2 Мб). — Загл. с титул. экрана. — Доступ по паролю из сети Интернет (чтение). — Adobe Acrobat Reader 7.0. — <URL:http://elib.spbstu.ru/dl/3/2020/vr/vr20-1424.pdf>. — <URL:http://elib.spbstu.ru/dl/3/2020/vr/rev/vr20-1424-o.pdf>. — <URL:http://elib.spbstu.ru/dl/3/2020/vr/rev/vr20-1424-r.pdf>. — <URL:http://elib.spbstu.ru/dl/3/2020/vr/rev/vr20-1424-a.pdf>. — DOI 10.18720/SPBPU/3/2020/vr/vr20-1424. — Текст
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Period
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Read
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Print
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Copy
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Open
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Total
|
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Year 2020
|
Quarter 4
|
October
|
1
|
0
|
0
|
0
|
1
|
|
November
|
0
|
0
|
0
|
0
|
0
|
|
December
|
0
|
0
|
0
|
0
|
0
|
|
Year 2021
|
Quarter 1
|
January
|
0
|
0
|
0
|
0
|
0
|
|
February
|
0
|
0
|
0
|
0
|
0
|
|
March
|
0
|
0
|
0
|
0
|
0
|
|
Quarter 2
|
April
|
0
|
0
|
0
|
0
|
0
|
|
May
|
1
|
0
|
0
|
0
|
1
|
|
June
|
1
|
0
|
0
|
0
|
1
|
|
Quarter 3
|
July
|
0
|
0
|
0
|
0
|
0
|
|
August
|
0
|
0
|
0
|
0
|
0
|
|
September
|
1
|
0
|
0
|
0
|
1
|
|
Quarter 4
|
October
|
1
|
0
|
0
|
0
|
1
|
|
November
|
0
|
0
|
0
|
0
|
0
|
|
December
|
0
|
0
|
0
|
0
|
0
|
|
Year 2022
|
Quarter 1
|
January
|
0
|
0
|
0
|
0
|
0
|
|
February
|
1
|
0
|
0
|
0
|
1
|
|
March
|
0
|
0
|
0
|
0
|
0
|
|
Quarter 2
|
April
|
0
|
0
|
0
|
0
|
0
|
|
May
|
2
|
0
|
0
|
0
|
2
|
|
June
|
2
|
0
|
0
|
0
|
2
|
|
Quarter 3
|
July
|
0
|
0
|
0
|
0
|
0
|
|
August
|
0
|
0
|
0
|
0
|
0
|
|
September
|
0
|
0
|
0
|
0
|
0
|
|
Quarter 4
|
October
|
0
|
0
|
0
|
0
|
0
|
|
November
|
1
|
0
|
0
|
0
|
1
|
|
December
|
1
|
0
|
0
|
0
|
1
|
|
Year 2023
|
Quarter 1
|
January
|
0
|
0
|
0
|
0
|
0
|
|
February
|
0
|
0
|
0
|
0
|
0
|
|
March
|
0
|
0
|
0
|
0
|
0
|
|
Quarter 2
|
April
|
0
|
0
|
0
|
0
|
0
|
|
May
|
1
|
0
|
0
|
0
|
1
|
|
June
|
0
|
0
|
0
|
0
|
0
|
|
Quarter 3
|
July
|
0
|
0
|
0
|
0
|
0
|
|
August
|
0
|
0
|
0
|
0
|
0
|
|
September
|
1
|
0
|
0
|
0
|
1
|
|
Quarter 4
|
October
|
0
|
0
|
0
|
0
|
0
|
|
November
|
0
|
0
|
0
|
0
|
0
|
|
December
|
0
|
0
|
0
|
0
|
0
|
|
Year 2024
|
Quarter 1
|
January
|
0
|
0
|
0
|
0
|
0
|
|
February
|
0
|
0
|
0
|
0
|
0
|
|
March
|
0
|
0
|
0
|
0
|
0
|
|
Quarter 2
|
April
|
1
|
0
|
0
|
0
|
1
|
|
May
|
0
|
0
|
0
|
0
|
0
|
|
Total
|
15
|
0
|
0
|
0
|
15
|
