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Scene trend judgment index calculation system and method based on deep hybrid cloud model

A technology of indicator calculation and hybrid cloud, applied in the directions of calculation, design optimization/simulation, data processing application, etc., can solve the problem that the prediction system cannot adapt to large-scale and dynamically changing network resources, etc., and achieve a wide range of application and generalization capabilities Effect

Pending Publication Date: 2020-09-04
国网甘肃省电力公司信息通信公司 +1
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Problems solved by technology

[0002] Existing forecasting systems cannot adapt to large-scale, dynamically changing network resources, and the overall trend can only be qualitatively calibrated, and can only predict trends in a relatively recent period of time

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  • Scene trend judgment index calculation system and method based on deep hybrid cloud model
  • Scene trend judgment index calculation system and method based on deep hybrid cloud model
  • Scene trend judgment index calculation system and method based on deep hybrid cloud model

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Embodiment Construction

[0057]The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0058] see Figure 1-Figure 7 As shown, the present invention provides a kind of technical scheme:

[0059] The present invention provides a method for calculating a scene trend judgment index based on a deep hybrid cloud model, including the following steps:

[0060] S1. Use the variational autoencoder VAE to encode the network resource nodes;

[0061] S2. Construct an overall cloud model from coded node resources;

[0062] S3. Use the cloud evolution algor...

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Abstract

The invention relates to the technical field of scene trend judgment, in particular to a scene trend judgment index calculation system and method based on a deep hybrid cloud model. The method comprises the following steps of: encoding a network resource node by using a VAE (Variable Auto Encoder); constructing an overall cloud model by using the coded node resources; training model parameters byusing a cloud evolutionary algorithm based on deep learning; and performing online scene trend prediction by using the model. In the scene trend judgment index calculation system based on the deep hybrid cloud model, a variational auto-encoder (VAE) is used for carrying out encoding representation on a network resource node; an overall cloud model is constructed by using coded node resources, scene trend judgment is carried out by using a deep hybrid cloud model, prediction can be carried out under data of different periodic dimensions, a training model is used for online prediction, large-scale and dynamically-changed network resources can be predicted in real time, and most of actual production environments are met.

Description

technical field [0001] The present invention relates to the technical field of scene trend judgment, in particular to a scene trend judgment index calculation system and method based on a deep hybrid cloud model. Background technique [0002] Existing forecasting systems cannot adapt to large-scale, dynamically changing network resources, and the overall trend can only be qualitatively calibrated, and can only predict a relatively recent period of time. Contents of the invention [0003] The purpose of the present invention is to provide a scene trend judgment index calculation system and method based on a deep hybrid cloud model, so as to solve the problems raised in the above-mentioned background technology. [0004] In order to solve the above-mentioned technical problems, one of the objects of the present invention is to provide a method for calculating a scene trend judgment index based on a deep hybrid cloud model, the method comprising the following steps: [0005]...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06F30/27
CPCG06Q10/04G06F30/27
Inventor 杨波靳丹杨仕博魏军闫润珍苏蕊王亚婷陈佐虎
Owner 国网甘肃省电力公司信息通信公司
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