Model training method and device, parameter prediction method and device, electronic equipment and storage medium

A training method and a technology of a training device, which are applied in the field of deep learning and can solve problems such as low prediction accuracy

Pending Publication Date: 2020-10-30
BEIJING DIDI INFINITY TECH & DEV +1
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Problems solved by technology

[0004] In view of this, the purpose of this application is to provide a model training, parameter prediction method and device, electronic eq...

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  • Model training method and device, parameter prediction method and device, electronic equipment and storage medium
  • Model training method and device, parameter prediction method and device, electronic equipment and storage medium
  • Model training method and device, parameter prediction method and device, electronic equipment and storage medium

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[0078] In order to make the purposes, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments It is only a part of the embodiments of the present application, but not all the embodiments. The components of the embodiments of the application generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations.

[0079] Accordingly, the following detailed description of the embodiments of the application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely represents selected embodiments of the application. Based on the embodiments in this application, all other embodiments obtained by persons of ord...

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Abstract

The invention provides a model training method and device, a parameter prediction method and device, electronic equipment and a storage medium, and relates to the technical field of deep learning. Themethod comprises the following steps: firstly, obtaining sample data are obtained, wherein the sample data at least comprise road network relation information and historical traffic information of all road sections in a target area, and the road network relation information comprises adjacency relation information between each road section in the target area and other road sections; secondly, performing vectorization processing on at least one kind of information in the sample data to obtain training data; and then, training a pre-constructed neural network model based on the training data toobtain a traffic parameter prediction model, the traffic parameter prediction model being used for performing prediction processing on a target road section in the target area to obtain traffic parameters of the target road section. By means of the method, the problem that an existing speed prediction technology is low in prediction precision can be solved.

Description

technical field [0001] The present application relates to the technical field of deep learning, in particular, to a method and device for model training, parameter prediction, electronic equipment, and storage media. Background technique [0002] With the continuous development of deep learning technology, its application fields have been continuously developed. For example, a prediction model can be obtained through deep learning, which can be used to predict road traffic parameters, so that users can travel more efficiently when driving vehicles. , thereby improving the driving experience. [0003] However, the inventors of the present application found that when predicting traffic parameters based on existing prediction models, there is a problem of low prediction accuracy. Contents of the invention [0004] In view of this, the purpose of this application is to provide a model training, parameter prediction method and device, electronic equipment and storage media, so...

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Application Information

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IPC IPC(8): G06N3/04G06N3/08G06Q10/04G06Q50/26
CPCG06N3/049G06N3/08G06Q10/04G06Q50/26G06N3/045
Inventor 方君高睿鹏谭乃强孙付勇马楠朱家言柴华郭晓宇谢迎凤邢薇薇卢苇吴国斌郄小虎
Owner BEIJING DIDI INFINITY TECH & DEV
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