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

<p>It is the basic requirement of Chinese painting line drawing figure sketching to express its unique divine mood and spiritual quality by shaping the figure through lines. This paper constructs a figure sketching technique model based on cognitive mapping, and the constituent elements of line drawing figures are used as individuals of the genetic algorithm population. Multiple constituent elements are trained with data using a genetic algorithm, and the selection and crossover operations are continuously performed according to the fitness threshold; a particle swarm optimization strategy is added, and the principle of the line drawing technique is derived after several iterations of calculation. The performance test of line drawing and figure sketching was conducted for the research class and the control class. The experimental results showed that the control class scored 60.35 and 65.32 in the two tests, the research class scored 72.59 and 79.15, and the research class outperformed the control class in the overall average score and the average score of the six grades. It shows that the cognitive mapping construction based on which the form of line drawing is continuously enhanced and developed has strengthened the importance of line drawing and made Chinese painting line drawing figure sketching more attractive and relatively independent.</p>
</abstract>

It is the basic requirement of Chinese painting line drawing figure sketching to express its unique divine mood and spiritual quality by shaping the figure through lines. This paper constructs a figure sketching technique model based on cognitive mapping, and the constituent elements of line drawing figures are used as individuals of the genetic algorithm population. Multiple constituent elements are trained with data using a genetic algorithm, and the selection and crossover operations are continuously performed according to the fitness threshold; a particle swarm optimization strategy is added, and the principle of the line drawing technique is derived after several iterations of calculation. The performance test of line drawing and figure sketching was conducted for the research class and the control class. The experimental results showed that the control class scored 60.35 and 65.32 in the two tests, the research class scored 72.59 and 79.15, and the research class outperformed the control class in the overall average score and the average score of the six grades. It shows that the cognitive mapping construction based on which the form of line drawing is continuously enhanced and developed has strengthened the importance of line drawing and made Chinese painting line drawing figure sketching more attractive and relatively independent.

A study on the principles of Chinese painting line drawing figure sketching techniques based on cognitive mapping constructs

Gansu University of Political Science and Law

Applied Mathematics and Nonlinear Sciences

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

It is the basic requirement of Chinese painting line drawing figure sketching to express its unique divine mood and spiritual quality by shaping the figure...

A study on the principles of Chinese painting line drawing figure sketching techniques based on cognitive mapping constructs

Publié en ligne: 09 oct. 2023

Pages: -

Reçu: 13 déc. 2022

Accepté: 19 avr. 2023

DOI: https://doi.org/10.2478/amns.2023.2.00542

Mots clés
Cognitive mapping, Figure sketching technique, Genetic algorithm, Data training, Particle swarm optimization

© 2023 Hongqiang Luo, published by Sciendo

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

A study on the principles of Chinese painting line drawing figure sketching techniques based on cognitive mapping constructs

Publié en ligne: 09 oct. 2023

Pages: -

Reçu: 13 déc. 2022

Accepté: 19 avr. 2023

DOI: https://doi.org/10.2478/amns.2023.2.00542

Mots clésCognitive mapping, Figure sketching technique, Genetic algorithm, Data training, Particle swarm optimization

© 2023 Hongqiang Luo, published by Sciendo

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

Mots clés
Cognitive mapping, Figure sketching technique, Genetic algorithm, Data training, Particle swarm optimization