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METHODS AND SYSTEMS FOR FACILITATING FORECASTING OF IN-SITU ENVIRONMENTAL CONDITIONS USING NONLINEAR ARTIFICIAL NEURAL NETWORKS-BASED MODELS
METHODS AND SYSTEMS FOR FACILITATING FORECASTING OF IN-SITU ENVIRONMENTAL CONDITIONS USING NONLINEAR ARTIFICIAL NEURAL NETWORKS-BASED MODELS
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机译:利用非线性人工神经网络的模型促进原位环境条件的预测方法和系统
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摘要
Disclosed herein is a method for facilitating forecasting of in-situ environmental conditions using nonlinear artificial neural networks-based models. Accordingly, the method may include receiving weather forecast model data, environmental data, and in-situ environmental data from an external device, analyzing the weather forecast model data, the environmental data, and the in-situ environmental data, generating input data, training a nonlinear machine learning-based in-situ environmental forecasting model based on the input data using a machine learning technique, validating the nonlinear machine learning-based in-situ environmental forecasting model using the in-situ environmental data, updating the nonlinear machine learning-based in-situ environmental forecasting model, generating an updated nonlinear machine learning-based in-situ environmental forecasting model, generating an in-situ forecast for an in-situ environmental condition, transmitting the in-situ forecast to a user device, and storing the nonlinear machine learning-based in-situ environmental forecasting model and the updated nonlinear machine learning-based in-situ environmental forecasting model.
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