Artificial intelligence optimization method for space calculation operation

A space computing and optimization method technology, applied in the field of artificial intelligence and high-performance geographic computing, can solve the problem of low efficiency of space computing operations and achieve the effect of improving efficiency

Pending Publication Date: 2021-01-05
WUHAN UNIV
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  • Application Information

AI Technical Summary

Benefits of technology

The inventors developed an algorithm called Artificial Intelligence (A) that optimizes spatial computation by searching through representative samples from previously stored simulations. This helps improve the overall quality of results compared to previous methods such as random search techniques. Additionally, they discovered ways to combine multiple AI technologies together to create better systems. Overall, these improvements resulted in increased precision and speed in analyzing large datasets on Earth's surface.

Problems solved by technology

This patented solution solves issues with current methods where different types of analytical operations are performed separately on each part of an image dataset due to its nonuniform nature. These techniques involve performing calculations based on multiple parts of the same area simultanously without overlapping their results.

Method used

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  • Artificial intelligence optimization method for space calculation operation

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Embodiment Construction

[0040] In order to solve the problems in the prior art, the present invention provides an artificial intelligence optimization method for spatial computing operations. The present invention takes the intersection operation of vector polygon space as an example, uses machine learning technology to predict the calculation intensity of subtasks in parallel processes, and realizes faster and more efficient space calculation operations.

[0041] In order to achieve the above-mentioned technical effect, main inventive concepts of the present invention are as follows:

[0042] It pioneered the introduction of artificial intelligence technology into the field of high-performance geographic computing. Invented by using feature selection techniques in machine learning including RReliefF, average precision reduction, average impurity reduction, recursive feature elimination and wrapped genetic algorithm, and regression model training techniques including CART regression tree, random forest,

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Abstract

The invention discloses an artificial intelligence optimization method for space calculation operation, and the method comprises the steps: employing a feature selection technology in machine learning, including RReliefF, average precision reduction, average impure reduction, recursive feature elimination and a wrapping type genetic algorithm; and a regression model training technology comprises aCART regression tree, a random forest, gradient ascending regression and support vector regression, constructing an optimal calculation intensity prediction model, and embedding and optimizing a high-performance geographic calculation process. The result provides an application method for predicting the geology application calculation intensity through the machine learning technology, polygonal space intersection in traditional GIS space calculation operation serves as an example, and feasibility and high efficiency of the proposed method are proved.

Description

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Claims

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Application Information

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Owner WUHAN UNIV
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