Article
The Psychological Memory Forgetting Model Based on the Analysis of Linear Differential Equations
Authors
Abstract
The article uses mathematical theory to derive a quasi-linear differential equation describing the law of memory forgetting in psychology. The nonlinear automatic control machine model is used to preliminary model the indiscriminate memory problem in psychology. The research obtains the recommended evaluation value with the forgetting characteristics in memory psychology. The experimental results found that the model reasonably solves the problem of quantification of timeliness.
Keywords
linear differential equation, Psychology, Memory forgetting model, Forgetting curve, 34B05
Citation
Yang, Y. (2022). The psychological memory forgetting model based on the analysis of linear differential equations. Applied Mathematics and Nonlinear Sciences, 7(2), 697–706. https://doi.org/10.2478/amns.2022.2.0056
Y. Yang, “The psychological memory forgetting model based on the analysis of linear differential equations,” Applied Mathematics and Nonlinear Sciences, vol. 7, no. 2, pp. 697–706, 2022, doi: 10.2478/amns.2022.2.0056.
Yang Y. The psychological memory forgetting model based on the analysis of linear differential equations. Applied Mathematics and Nonlinear Sciences. 2022;7(2):697–706. doi:10.2478/amns.2022.2.0056.
Yang, Y. (2022), ‘The psychological memory forgetting model based on the analysis of linear differential equations’, Applied Mathematics and Nonlinear Sciences, 7(2), pp. 697–706. Available at: https://doi.org/10.2478/amns.2022.2.0056.
Yang, Yangang. “The Psychological Memory Forgetting Model Based on the Analysis of Linear Differential Equations.” Applied Mathematics and Nonlinear Sciences, vol. 7, no. 2, 2022, pp. 697–706. https://doi.org/10.2478/amns.2022.2.0056.
Yang, Yangang. “The Psychological Memory Forgetting Model Based on the Analysis of Linear Differential Equations.” Applied Mathematics and Nonlinear Sciences 7, no. 2 (2022): 697–706. https://doi.org/10.2478/amns.2022.2.0056.
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Published by: Engineering Journals


