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2.2.2 Neural Network for Analyzing the Weather Forecasting

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NN is the most important concept in the AI system that can control the weather forecast system such that the natural disaster can be reduced. This work proposed a novel approach to predict the hidden state that updates the new changes in current state that can be directed graph and true to its transition matrix that can differentiate the modeling level that have performance analysis based on the range of economic difference that can step into the neural approach that can be in cognitive task [15] when there is a combination of multilevel longitudinal data that are from various directions from north, south, east, and west that are frequently changed. IBHMF’s main task is to reduce the noise from the dataset, which takes particular columns to predict the performance rate and accuracy rate. Based on hidden NNs, the weather features can be variation, categorical data variables, etc., that are not stable instantly [13].

Handbook on Intelligent Healthcare Analytics

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