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Сравнительное исследование эффективно&

Сравнительное исследование эффективно&


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About the Book

Лесной пожар - это неконтролируемое и не предписанное сжигание естественной растительности, представляющее большую угрозу для окружающей среды. Будучи природным явлением, человечество не в состоянии предотвратить его. Необходимо раннее прогнозирование, быстрое обнаружение и оперативные действия по борьбе с такими явлениями для защиты экосистемы. В этой книге с помощью методов мягких вычислений и машинного обучения построена модель прогнозирования, способная предсказывать лесные пожары. Набор данных состоит из 517 записей временных рядов данных для природного парка Монтесиньо в Португалии. Чтобы найти некоторые критические закономерности и сегментировать регионы пожаров (с помощью кластеризации), на наборе данных используются методы ПЦА и кластеризации с помощью К-средних, соответственно. Одновременно применяются пять методов мягких вычислений, а именно МПНН, ПНН, КНН, РБФ и СВМ. Для выполнения алгоритмов используются библиотеки Пытхон, такие как Сцикит-леарн, Пандас, Матплотлиб и Сеаборн. Наконец, каждый метод мягких вычислений оценивается по таким параметрам оценки, как МСЕ, РМСЕ, МАЕ, РАЕ и ИГ, и определяется подходящая модель с наилучшими значениями.


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Product Details
  • ISBN-13: 9786205828991
  • Publisher: KS Omniscriptum Publishing
  • Publisher Imprint: Sciencia Scripts
  • Height: 229 mm
  • No of Pages: 52
  • Spine Width: 3 mm
  • Width: 152 mm
  • ISBN-10: 6205828995
  • Publisher Date: 24 Mar 2023
  • Binding: Paperback
  • Language: Russian
  • Returnable: N
  • Weight: 141 gr


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