Land utilization simulation and prediction method

A prediction method and land technology, applied in the direction of prediction, data processing application, biological neural network model, etc., can solve the problems that it is difficult to realize evolution simulation, do not consider the information characteristics of neighborhood cell variables, etc., to improve the utilization rate and application value , improve the simulation accuracy, accelerate the effect of convergence speed

Pending Publication Date: 2021-08-10
BEIJING UNIVERSITY OF CIVIL ENGINEERING AND ARCHITECTURE
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Problems solved by technology

Although a variety of linear and nonlinear methods have been applied in the construction of CA model conversion rules, these methods are based on the information mining of a single cell to construct conversion rules, even if there are neighborhood constraints in the rules. Since the change of th

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  • Land utilization simulation and prediction method

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Embodiment Construction

[0027] 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.

[0028] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0029] Such as figure 1 As shown, the present invention proposes a land use simulation and prediction method, comprising the following steps,

[0030] Data acquisition and preprocessing stage: The data used in th...

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Abstract

The invention discloses a land utilization simulation and prediction method. The method comprises the following steps of collecting land utilization data, performing preprocessing to obtain an initial data set, and dividing the initial data set into a training set and a test set based on a sliding window technology; constructing a ConvLSTM-CA model on the basis of a ConvLSTM algorithm and a city expansion CA model, and training the ConvLSTM-CA model by taking the training set as input to obtain a target ConvLSTM-CA model; and calculating the conversion probability of the land utilization type according to the target ConvLSTM-CA model and the land utilization data, and based on a maximum probability conversion principle, obtaining a land utilization simulation prediction result. According to the prediction method, the utilization rate and the application value of the prediction network are greatly improved, and meanwhile, the ConvLSTM-CA model is adopted, so that the simulation effect is ensured, and meanwhile, the simulation precision is greatly improved.

Description

technical field [0001] The invention belongs to the field of land simulation prediction, in particular to a land use simulation and prediction method. Background technique [0002] With the rapid growth of my country's economy, the number of urban population continues to increase, and the scale of urban expansion is gradually increasing. Today's new data environment has large volumes of data, multiple data categories, wider coverage of data scales, faster updates, stronger timeliness, higher accuracy, and more humanistic. The evolution of city scale is affected by many aspects such as social economy, infrastructure, population, etc., so the process of urban evolution is very complicated. Predicting changes in future land use, so as to pre-arrange land development, utilization, improvement and protection in time and space, has important practical significance for the allocation and sustainable use of regional land resources. With the popularity and maturity of technologies ...

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06G06Q50/26G06N3/04
CPCG06Q10/04G06Q10/067G06Q50/26G06N3/044
Inventor 张昱苏仡琳郭茂祖高凯龙李继涛刘开峰
Owner BEIJING UNIVERSITY OF CIVIL ENGINEERING AND ARCHITECTURE
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