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Traffic prediction method and device, model training method and device, electronic equipment and storage medium

A traffic prediction and model technology, applied in the field of computer communication, can solve the problems of difficult resource allocation, difficulty in network planning and bandwidth expansion, low accuracy of traffic prediction, etc., achieve high generalization ability, improve the rationality of resource allocation, target traffic Predict the effect of accurate results

Pending Publication Date: 2022-03-18
CHINA TELECOM CORP LTD
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  • Claims
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Problems solved by technology

Due to the continuous growth of optical network traffic and the differences between different services, traffic forecasting is needed as a support. However, the accuracy of traffic forecasting in related technologies is low, so it is difficult to allocate resources reasonably and provide network planning and bandwidth expansion. bring some difficulties

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  • Traffic prediction method and device, model training method and device, electronic equipment and storage medium
  • Traffic prediction method and device, model training method and device, electronic equipment and storage medium
  • Traffic prediction method and device, model training method and device, electronic equipment and storage medium

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Embodiment Construction

[0035] Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present application as recited in the appended claims.

[0036] The block diagrams shown in the drawings are merely functional entities and do not necessarily correspond to physically separate entities. That is, these functional entities may be implemented in software, or in one or more hardware modules or integrated circuits, or in different networks and / or processor devices and / or microcontroller devices entity.

[0037] The flow charts shown ...

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Abstract

The embodiment of the invention discloses a traffic prediction method and device, a model training method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining a test traffic data set which comprises the traffic data of a target object in a first preset historical time period, and inputting the test traffic data set into a pre-trained traffic prediction model, and outputting a target traffic prediction result of the target object in a specified time period, the traffic prediction model being obtained by training a prediction network based on the training traffic data set, the prediction network is obtained by integrating and constructing a full connection layer of the convolutional neural network and a full connection layer of the convolutional recurrent neural network. According to the technical scheme of the embodiment of the invention, the traffic prediction scheme is greatly optimized, and the accuracy of traffic prediction is improved.

Description

technical field [0001] The present application relates to the technical field of computer communication, and in particular, to a flow prediction method, a model training method, a flow prediction device, electronic equipment, and a computer-readable storage medium. Background technique [0002] As the basic network of operators, the optical network provides important transmission support for different professional service networks including wireless and IP. At the same time, it is gradually providing high-quality private line services directly to users. It's getting more complicated. Due to the continuous growth of optical network traffic and the differences between different services, traffic forecasting is needed as a support. However, the accuracy of traffic forecasting in related technologies is low, so it is difficult to allocate resources reasonably and provide network planning and bandwidth expansion. All bring certain difficulties. [0003] Therefore, how to improv...

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Application Information

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IPC IPC(8): H04Q11/00G06N3/04G06N3/08
CPCH04Q11/0062G06N3/08H04Q2011/0086G06N3/045
Inventor 胡骞刘言李俊杰杨玉森
Owner CHINA TELECOM CORP LTD
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