Training method of day length change forecasting model and day length change forecasting method and device
A technology for forecasting models and training samples, which is applied in the computer field and can solve the problem that the change of day length cannot be obtained in real time.
Pending Publication Date: 2022-08-09
PLA STRATEGIC SUPPORT FORCE INFORMATION ENG UNIV PLA SSF IEU
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The earth's rotation motion is affected by the comprehensive effects of the ocean, atmospheric ocean currents, crust, earth's core, and mantle, showing complex nonlinear changes. However, the change in day length obtained by space measurement technology cannot be obtained in real time.
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[0042] In order to make the objectives, technical solutions and advantages of the present application clearer, the technical solutions of the present application will be clearly and completely described below with reference to the specific embodiments of the present application and the corresponding drawings. Obviously, the described embodiments are only a part of the embodiments of the present application, but not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of this application.
[0043] The terms "first", "second" and the like in the present specification and claims are used to distinguish similar objects, and are not used to describe a specific order or sequence. It is to be understood that data so used may be interchanged under appropriate circumstances so that embodiments of the present application can be practiced i...
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The invention discloses a training method of a day length change forecasting model, and a day length change forecasting method and device. The training method comprises: fitting a first historical day length change sequence based on a preset fitting algorithm, and determining a first fitting residual sequence and a day length extrapolation value of a first target time point based on an obtained first fitting curve, the first fitting residual sequence comprising fitting residuals corresponding to a plurality of first historical time points; determining a fitting residual corresponding to the first target time point based on the daily length extrapolation value and the daily length actual value of the first target time point; performing phase-space reconstruction on the first fitting residual error sequence on the basis of an embedded dimension matched with the first fitting residual error sequence and delay time to obtain first phase-space representation; and taking the first phase space representation as a training sample, taking the fitting residual error corresponding to the first target time point as a label corresponding to the training sample, and training the day length change forecasting model.
Description
technical field [0001] The present application relates to the field of computer technology, and in particular, to a training method for a forecast model of day length change, a method and device for forecasting day length change. Background technique [0002] The change of the earth's rotation rate, the long-term change is manifested as the slow decrease of the earth's rotation speed, and the period term varies from a few days to several decades. This phenomenon is called the change of the length of day. Day length variation is an important Earth Rotation Parameters (ERP), which is a necessary parameter for the mutual conversion between the Earth reference frame and the celestial reference frame. important application. The rotation of the earth is affected by the combined effects of the ocean, atmospheric currents, crust, core and mantle, and presents complex nonlinear changes, but the day length changes obtained by space measurement technology cannot be obtained in real ti...
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IPC IPC(8): G06Q10/04G06Q50/26G06K9/62
CPCG06Q10/04G06Q50/26G06F18/214Y02A90/10
Inventor 李林阳乔书波徐海龙林家乐彭华东杨显赐李松伟宋开放郭文卓
Owner PLA STRATEGIC SUPPORT FORCE INFORMATION ENG UNIV PLA SSF IEU