Climate change prediction method and system for fitting various climate modes based on modified BP neural network
A BP neural network, climate change technology, applied in biological neural network models, climate change adaptation, neural learning methods, etc., can solve problems such as large deviation, inability to extend forecast sequence values, and inability to correctly reflect the temporal and spatial distribution of climate change, etc. Achieve the effect of improving input and output data processing and increasing reliability
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[0066] In the following description, numerous specific details are set forth in order to provide a more thorough understanding of the present invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced without one or more of these details. In other instances, some technical features known in the art have not been described in order to avoid obscuring the present invention.
[0067] The applicant believes that the use of climate models to predict climate change is essentially the use of simulated data and measured data of climate models to conduct control experiments, and to select climate models or sets of climate models with good evaluation effects for future climate prediction. The study found that the existing climate model forecasting future climate change plans using a single model or a weighted multi-model ensemble method to predict future trends will have problems such as large deviations and no consideration of spatial...
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