Design of artistic graphic symbols based on intelligent guidance marking system

This paper presents an in-depth study and analysis of the design of the symbolization of art graphics through a linear regression algorithm. The improved method first selects a suitable range of learning rate and lets the learning rate transform in the range of values according to the characteristics of cosine function transformation, so that the learning rate gradually decreases at different rates in different periods of training to achieve the effect of a faster convergence of logistic regression loss function and better convergence value and improve the training efficiency and classification accuracy of logistic regression algorithm. At the same time, the modules of data reordering and regularization penalty method are added to make the logistic regression algorithm model have better generalization ability. Based on the interrelationship between guidance signage system, graphic symbols, and emotional expression, we focus on the emotional characteristics and presentation of graphic symbols and explore their emotional transmission in the guidance signage system, thus the impact on human cognitive behavior. We will summarize the significance of the emotional expression of graphic symbols in the guidance signage system. Graphic symbols as the soul of the guidance signage system, are also the most impactful visual elements, their rich expression, presenting a unique visual aesthetic, more in line with the aesthetic interests of modern people. It conveys information, plays a guiding function at the same time, establishes a sense of place, creates a specific emotional atmosphere to convey a certain emotional experience; the message is more deeply rooted.

Automated summary

This paper presents an in-depth study and analysis of the design of art graphics symbolization through a linear regression algorithm. It improves the training efficiency and classification accuracy of the logistic regression algorithm by selecting a suitable range of learning rate and adding modules of data reordering and regularization penalty method. The emotional characteristics and presentation of graphic symbols are explored, along with their impact on human cognitive behavior in the guidance signage system. The significance of emotional expression of graphic symbols in the guidance signage system is summarized.