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

<p>The article uses the Spss statistical analysis software to establish a multiple linear regression model of short-term stock price changes in domestic agricultural listed companies. It uses a stable time series based on the ARMA model for stable agricultural value-added, fiscal expenditure and market interest rates. The regression method is used to study its impact on the stock price index. Compared with the existing stock forecasting methods, this method has simple data collection and no specific requirements for data selection, and the prediction results have a high degree of fit. Therefore, this method is suitable for most stocks.</p>
</abstract>

The article uses the Spss statistical analysis software to establish a multiple linear regression model of short-term stock price changes in domestic agricultural listed companies. It uses a stable time series based on the ARMA model for stable agricultural value-added, fiscal expenditure and market interest rates. The regression method is used to study its impact on the stock price index. Compared with the existing stock forecasting methods, this method has simple data collection and no specific requirements for data selection, and the prediction results have a high degree of fit. Therefore, this method is suitable for most stocks.

Application of Sobolev-Volterra projection and finite element numerical analysis of integral differential equations in modern art design

Department of Information Systems, Faculty of Computing and Information Technology

Applied Mathematics and Nonlinear Sciences

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

The article uses the Spss statistical analysis software to establish a multiple linear regression model of short-term stock price changes in domestic...

Function method		f₁		f₂

		GA	K-GA	GA	K-GA

Cross probability	1	56.28	7.32	12.67	4.71
	0.9	57.03	7.84	13.61	5.38
	0.8	60.05	8.09	13.88	6.37
	0.7	61.44	8.67	15.58	6.94
	0.6	62.49	9.52	19.71	7.54
	0.5	63.58	10.49	20.85	8.06

Application of Sobolev-Volterra projection and finite element numerical analysis of integral differential equations in modern art design

Publicado en línea: 22 nov 2021

Páginas: 139 - 150

Recibido: 17 jun 2021

Aceptado: 24 sept 2021

DOI: https://doi.org/10.2478/amns.2021.2.00054

Palabras clave
K-GA algorithm, illustration art, art design, operator optimisation, cluster optimisation

© 2021 Zheng Tan et al., published by Sciendo

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

Fig. 1

Fig. 2

Algorithm simulation results of test functions.

Application of Sobolev-Volterra projection and finite element numerical analysis of integral differential equations in modern art design

Publicado en línea: 22 nov 2021

Páginas: 139 - 150

Recibido: 17 jun 2021

Aceptado: 24 sept 2021

DOI: https://doi.org/10.2478/amns.2021.2.00054

Palabras claveK-GA algorithm, illustration art, art design, operator optimisation, cluster optimisation

© 2021 Zheng Tan et al., published by Sciendo

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

Fig. 1

Fig. 2

Algorithm simulation results of test functions.

Palabras clave
K-GA algorithm, illustration art, art design, operator optimisation, cluster optimisation