Design of artistic graphic symbols based on intelligent guidance marking system
Abstract 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 chara...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Guo, Yongqiang [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2022 |
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| Schlagwörter: |
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| Anmerkung: |
© The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2022 |
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| Übergeordnetes Werk: |
Enthalten in: Neural computing & applications - Springer London, 1993, 35(2022), 6 vom: 13. März, Seite 4255-4266 |
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| Übergeordnetes Werk: |
volume:35 ; year:2022 ; number:6 ; day:13 ; month:03 ; pages:4255-4266 |
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| DOI / URN: |
10.1007/s00521-022-07088-6 |
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OLC2133634576 |
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| 520 | |a Abstract 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. | ||
| 650 | 4 | |a Linear regression algorithm | |
| 650 | 4 | |a Art graphics | |
| 650 | 4 | |a Symbolic design | |
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10.1007/s00521-022-07088-6 doi (DE-627)OLC2133634576 (DE-He213)s00521-022-07088-6-p DE-627 ger DE-627 rakwb eng 004 VZ Guo, Yongqiang verfasserin (orcid)0000-0002-3649-1409 aut Design of artistic graphic symbols based on intelligent guidance marking system 2022 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2022 Abstract 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. Linear regression algorithm Art graphics Symbolic design Enthalten in Neural computing & applications Springer London, 1993 35(2022), 6 vom: 13. März, Seite 4255-4266 (DE-627)165669608 (DE-600)1136944-9 (DE-576)032873050 0941-0643 nnns volume:35 year:2022 number:6 day:13 month:03 pages:4255-4266 https://doi.org/10.1007/s00521-022-07088-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_2018 GBV_ILN_4277 AR 35 2022 6 13 03 4255-4266 |
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10.1007/s00521-022-07088-6 doi (DE-627)OLC2133634576 (DE-He213)s00521-022-07088-6-p DE-627 ger DE-627 rakwb eng 004 VZ Guo, Yongqiang verfasserin (orcid)0000-0002-3649-1409 aut Design of artistic graphic symbols based on intelligent guidance marking system 2022 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2022 Abstract 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. Linear regression algorithm Art graphics Symbolic design Enthalten in Neural computing & applications Springer London, 1993 35(2022), 6 vom: 13. März, Seite 4255-4266 (DE-627)165669608 (DE-600)1136944-9 (DE-576)032873050 0941-0643 nnns volume:35 year:2022 number:6 day:13 month:03 pages:4255-4266 https://doi.org/10.1007/s00521-022-07088-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_2018 GBV_ILN_4277 AR 35 2022 6 13 03 4255-4266 |
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10.1007/s00521-022-07088-6 doi (DE-627)OLC2133634576 (DE-He213)s00521-022-07088-6-p DE-627 ger DE-627 rakwb eng 004 VZ Guo, Yongqiang verfasserin (orcid)0000-0002-3649-1409 aut Design of artistic graphic symbols based on intelligent guidance marking system 2022 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2022 Abstract 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. Linear regression algorithm Art graphics Symbolic design Enthalten in Neural computing & applications Springer London, 1993 35(2022), 6 vom: 13. März, Seite 4255-4266 (DE-627)165669608 (DE-600)1136944-9 (DE-576)032873050 0941-0643 nnns volume:35 year:2022 number:6 day:13 month:03 pages:4255-4266 https://doi.org/10.1007/s00521-022-07088-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_2018 GBV_ILN_4277 AR 35 2022 6 13 03 4255-4266 |
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10.1007/s00521-022-07088-6 doi (DE-627)OLC2133634576 (DE-He213)s00521-022-07088-6-p DE-627 ger DE-627 rakwb eng 004 VZ Guo, Yongqiang verfasserin (orcid)0000-0002-3649-1409 aut Design of artistic graphic symbols based on intelligent guidance marking system 2022 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2022 Abstract 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. Linear regression algorithm Art graphics Symbolic design Enthalten in Neural computing & applications Springer London, 1993 35(2022), 6 vom: 13. März, Seite 4255-4266 (DE-627)165669608 (DE-600)1136944-9 (DE-576)032873050 0941-0643 nnns volume:35 year:2022 number:6 day:13 month:03 pages:4255-4266 https://doi.org/10.1007/s00521-022-07088-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_2018 GBV_ILN_4277 AR 35 2022 6 13 03 4255-4266 |
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Abstract 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. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2022 |
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Abstract 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. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2022 |
| abstract_unstemmed |
Abstract 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. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2022 |
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Design of artistic graphic symbols based on intelligent guidance marking system |
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