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首页> 外文期刊>International journal of systems assurance engineering and management >The practice of connectionist model for predicting forest fires in the Arctic zones of the Krasnoyarsk Territory
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The practice of connectionist model for predicting forest fires in the Arctic zones of the Krasnoyarsk Territory

机译：预测克拉斯诺尔斯克地区北极区预测森林火灾的连接主义模型的实践

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This paper presents data on the localization and number of forest fires that occur in the Arctic zones of the Krasnoyarsk Territory, as well as the possible causes of their occurrence. It is established that the main cause of forest and landscape fires are natural phenomena. A database of data normalized in a certain way about the factors shaping the occurrence of natural forest and landscape fires has been formed. The practice of connectionist algorithms, a forecasting model has been developed, and, based on data on forest and landscape fires in the Krasnoyarsk Territory; a model has been evaluated for using the model to predict fires in 2018. In order to compile a forecast of forest and landscape fires for 2019 in the Arctic zones of the Krasnoyarsk Territory using the connectionist algorithms, an optimal neuroarchitecture was chosen, which allows long-term time series forecasting.
机译：本文介绍了在Krasnoyarsk领域的北极地区发生的森林火灾的定位和森林火灾数量的数据，以及其发生的可能原因。建立森林和景观火灾的主要原因是自然现象。以某种方式规定的数据数据库，关于塑造自然林和景观火灾的发生的因素。连接算法的实践，已经开发了预测模型，并基于Krasnoyarsk领土的森林和景观火灾数据;已经评估了模型，用于使用模型在2018年预测火灾。为了使用连接算法编制2019年北极地区2019年2019年森林和景观火灾的预测，选择了最佳的神经建筑，允许长 - 时间序列预测。

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