Construction and Application of Classification Model of Art Design Patterns based on Random Matrix

Abstract

With the continuous enhancement of computer technology, digital technology brings people more convenience with its powerful functions, and the classification accuracy of art design patterns is getting higher and higher, which greatly expands the creative space of art design. This paper improves the traditional model based on a random matrix, mainly to improve the pattern recognition efficiency and pattern classification accuracy, focusing on the construction and application of the art design pattern classification model, using the random matrix model proposed in this paper can better classify the art design pattern classification, art design pattern classification accuracy is higher, can better promote the combination of art and technology to promote the development of the industry This paper presents a random matrix model to classify art design patterns with higher accuracy, which can better promote the development of art and technology combination. Traditional machine learning methods are used to classify art and design patterns by changing the weights and focusing on the desired target. However, updating the model weights is on the architecture of the original model, which only involves the iterative update of the weights, and the accuracy of the art design pattern classification cannot be significantly improved, still, there is a problem of poor classification accuracy for art pattern classification, and this problem exists, the recognition model based on the random matrix is improved. Based on 73388 art design samples, this paper extracts art design patterns, and improves the accuracy by using the improvement of the random matrix algorithm model.