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

<p>The paper establishes a related differential equation model about changes in financial interest rates. It uses information related to liquidity to feedback the law and stability of differential equations in interest rate changes. The article applies stochastic processes and partial differential equations to complex financial networks to confirm node yields in financial market networks. It confirms the existence of interest rate stickiness in Chinese financial markets. The advantage of this interest rate model is that when the external economic environment changes, the state of interest rates will also change accordingly.</p>
</abstract>

The paper establishes a related differential equation model about changes in financial interest rates. It uses information related to liquidity to feedback the law and stability of differential equations in interest rate changes. The article applies stochastic processes and partial differential equations to complex financial networks to confirm node yields in financial market networks. It confirms the existence of interest rate stickiness in Chinese financial markets. The advantage of this interest rate model is that when the external economic environment changes, the state of interest rates will also change accordingly.

Mathematical simulation experiment based on optimisation of heat treatment process of aluminium alloy materials

Department of Accounting and Finance, Faculty of Administrative Sciences

Applied Mathematics and Nonlinear Sciences

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

The paper establishes a related differential equation model about changes in financial interest rates. It uses information related to liquidity to feedback the...

Mathematical simulation experiment based on optimisation of heat treatment process of aluminium alloy materials

Online veröffentlicht: 15. Dez. 2021

Seitenbereich: 609 - 616

Eingereicht: 16. Juni 2021

Akzeptiert: 24. Sept. 2021

DOI: https://doi.org/10.2478/amns.2021.1.00083

Schlüsselwörter
neural network, aluminium alloy, heat treatment, process optimisation, wear performance, numerical simulation

© 2021 Jing Su et al., published by Sciendo

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

Mathematical simulation experiment based on optimisation of heat treatment process of aluminium alloy materials

Online veröffentlicht: 15. Dez. 2021

Seitenbereich: 609 - 616

Eingereicht: 16. Juni 2021

Akzeptiert: 24. Sept. 2021

DOI: https://doi.org/10.2478/amns.2021.1.00083

Schlüsselwörterneural network, aluminium alloy, heat treatment, process optimisation, wear performance, numerical simulation

© 2021 Jing Su et al., published by Sciendo

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

Schlüsselwörter
neural network, aluminium alloy, heat treatment, process optimisation, wear performance, numerical simulation