Research on Pattern Elements and Colors in Apparel Design through Fractal Theory
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초록
Excellent apparel design can increase market competitiveness. This article briefly introduced the theory offractals and its application in the field of apparel design. The convolutional neural network (CNN) algorithmwas used to assist in the evaluation of apparel designs. In the case analysis, the accuracy of the evaluation wasvalidated by comparing the CNN algorithm with two other intelligent algorithms, support vector machine(SVM) and back propagation (BP). The evaluation of the proposed design showed that compared with SVMand BP algorithms, the CNN algorithm had higher accuracy in evaluating apparel designs. The evaluation resultof the proposed apparel design not only further verifies the effectiveness of the CNN algorithm, but alsodemonstrates that the theory of fractals can be effectively applied in apparel design to provide more innovativedesigns.
Abstract
Excellent apparel design can increase market competitiveness. This article briefly introduced the theory offractals and its application in the field of apparel design. The convolutional neural network (CNN) algorithmwas used to assist in the evaluation of apparel designs. In the case analysis, the accuracy of the evaluation wasvalidated by comparing the CNN algorithm with two other intelligent algorithms, support vector machine(SVM) and back propagation (BP). The evaluation of the proposed design showed that compared with SVMand BP algorithms, the CNN algorithm had higher accuracy in evaluating apparel designs. The evaluation resultof the proposed apparel design not only further verifies the effectiveness of the CNN algorithm, but alsodemonstrates that the theory of fractals can be effectively applied in apparel design to provide more innovativedesigns.
참고문헌 (15)
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