Reinforcement Learning Algorithm of Intelligent Cultural and Creative Product Design Based on Data Mining Technology

Abstract

With the progress of science and technology and the development of society, the emotional needs of users have been paid more and more attention by academia and industry. At the same time, the market has also put forward new requirements for the rapid iteration of intelligent cultural and creative products. The emotional design of intelligent cultural and creative products can endow intelligent cultural and creative products with emotional characteristics and bring users a beautiful and pleasant experience. A lot of research work has been carried out at home and abroad. This paper aims to study the reinforcement learning algorithm of intelligent cultural and creative product design based on data mining technology. This paper will firstly guide the content of industrial design in the information age, aiming at comfort and ease of use, briefly summarize the research of domestic and foreign scholars in the field of traditional industrial design of intelligent cultural and creative products, and take these research contents as For reference, study the design elements of intelligent cultural and creative from the aspects of shape, material and color, and analyze the influencing factors of related elements; and then study the intelligent cultural and creative system from the three dimensions of intelligent cultural and creative interaction, interactive content, and interactive behavior elements of interaction design. Secondly, design and practice the appearance of intelligent cultural and creative based on the elements of appearance design, analyze and research intelligent cultural and creative from the perspective of ergonomics and product aesthetics, design corresponding conceptual sketches, screen modeling and rendering to obtain plans, and evaluate corresponding design scheme and complete the physical construction of the scheme. Finally, based on the development trend of interaction design in the future, the interaction method and interaction content in this intelligent cultural and creative solution are designed, and an easy-to-use application product is designed based on the above design elements. Experiments have shown that the user satisfaction of intelligent cultural and creative products designed by algorithms has reached more than 90%.