Recursive Neural Network-Based Market Demand Forecasting Algorithm for Calligraphy Practice Products

Yi Xue,Naeem Jan

doi:10.1155/2022/8086789

Abstract

In today’s society, calligraphy, which reflects one’s basic writing skills, is becoming more and more important to people. People are influenced by calligraphy in their studies, work, etc. Improving calligraphy writing skills has become one of the key directions for developing one’s abilities at this stage. As an important means of improving writing skills, calligraphy practice products are attracting more and more attention and purchases. In particular, in recent years, as the market economy has developed in a deeper direction, people’s demand for calligraphy practice products has diversified and calligraphy practice product companies have launched a variety of products to meet the public’s calligraphy practice needs in order to adapt to the reality of consumer demand. However, with the development of the Internet culture industry and influenced by objective factors such as school holidays and seasons, the current market demand for calligraphy practice products is rapidly and dynamically changing, making market changes difficult to grasp and leading to poor sales, which directly affects the profits of calligraphy practice product-related companies. The artificial intelligence neural network method realizes the nonlinear relationship between the input and output of sample data through the self-learning ability of each neuron and has a certain nonlinear mapping ability in prediction, which plays a great role in the market demand prediction of many commercial products. Based on this, this paper proposes a recursive neural network-based algorithm to predict the future demand and development trend of calligraphy practice products through extensive and in-depth research, so as to provide positive and beneficial guidance for enterprises’ future production and sales.

Highlights

China has been a cultural power since ancient times, and after more than a thousand years of historical evolution, the major ancient Chinese civilizations have long influenced each other and merged
Together with other forms of art, they form a vast sea of Chinese culture. e art of calligraphy has always been respected by the nation as an elegant, erudite, and nurturing art form. e art of Chinese calligraphy is a manifestation of Chinese culture and is one with the spirit of the Chinese nation. e spirit of Chinese culture is the unity of heaven and man, the valuing of harmony, and the shunning of center. e Chinese culture’s value of “harmony is precious” is perfectly embodied through the beauty of harmony in the art of calligraphy [2]
In order to fully utilize the advantages of the Prophet model and Long ShortTerm Memory (LSTM) neural network model, this paper proposes an optimal combined forecasting model based on Prophet and LSTM neural network for sales time series forecasting of calligraphy exercise products

Summary

Introduction

China has been a cultural power since ancient times, and after more than a thousand years of historical evolution, the major ancient Chinese civilizations have long influenced each other and merged. An important part of Chinese culture is writing, and the different aesthetic forms of writing form the art of calligraphy [1]. E art of Chinese calligraphy, with its long and unbroken history, has attracted generations of calligraphers to cultivate and tread the paths of the ancients, to experience the essence of the culture that has been precipitated for thousands of years, and on the other hand, to read ten thousand books, travel ten thousand miles, capture the world, cultivate their bodies, and express it in their brushstrokes, creating a style of calligraphy appropriate to the times. E Chinese culture’s value of “harmony is precious” is perfectly embodied through the beauty of harmony in the art of calligraphy [2]. With its ability to express the richness and complexity of human thought and emotion in the simple shape of lines, has great aesthetic value. With the help of Chinese characters, calligraphy is an expression of sentiment and sentimentality

Methods

Results

Conclusion