<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>In order to solve the problem that the image processing time is too long in the use of the original college education information power method.Therefore, the design of the fractional differential equation of higher education information power method. According to the information source, a combination of various methods is set to complete the data collection.Compared with the content of fractional differential equation, the fractional differential equation is selected to complete the image information processing. Develop the processing process and select the appropriate equipment to complete the image processing.Set up experimental equipment, select experimental samples to obtain experimental results. Compared with the original method, the image processing time of this method is significantly shorter than that of the original method.Therefore, this method is more efficient for image processing and has a more obvious effect on the informatization of university education.</p>
</abstract>

In order to solve the problem that the image processing time is too long in the use of the original college education information power method.Therefore, the design of the fractional differential equation of higher education information power method. According to the information source, a combination of various methods is set to complete the data collection.Compared with the content of fractional differential equation, the fractional differential equation is selected to complete the image information processing. Develop the processing process and select the appropriate equipment to complete the image processing.Set up experimental equipment, select experimental samples to obtain experimental results. Compared with the original method, the image processing time of this method is significantly shorter than that of the original method.Therefore, this method is more efficient for image processing and has a more obvious effect on the informatization of university education.

Semiparametric Spatial Econometric Analysis of Household Consumption Based on Ordinary Linear Regression Model

Chengdu University of Information Technology

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

In order to solve the problem that the image processing time is too long in the use of the original college education information power method.Therefore, the...

Semiparametric Spatial Econometric Analysis of Household Consumption Based on Ordinary Linear Regression Model

Data publikacji: 15 lip 2022

Zakres stron: 1435 - 1444

Otrzymano: 12 mar 2022

Przyjęty: 14 maj 2022

DOI: https://doi.org/10.2478/amns.2022.2.0132

Słowa kluczowe
Consumption effect, consumption heterogeneity, consumption upgrade, regional imbalance

© 2023 Siyi Fu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Figure 1

Figure 2

Semiparametric Spatial Econometric Analysis of Household Consumption Based on Ordinary Linear Regression Model

Data publikacji: 15 lip 2022

Zakres stron: 1435 - 1444

Otrzymano: 12 mar 2022

Przyjęty: 14 maj 2022

DOI: https://doi.org/10.2478/amns.2022.2.0132

Słowa kluczoweConsumption effect, consumption heterogeneity, consumption upgrade, regional imbalance

© 2023 Siyi Fu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Figure 1

Figure 2

Słowa kluczowe
Consumption effect, consumption heterogeneity, consumption upgrade, regional imbalance