Abstract
Aiming at the problems of the multimedia computer-aided industrial system, this paper puts forward the application of big data mining algorithm to multimedia computer-aided industrial system design and analyzes in detail the impact of multimedia technology on industrial quality. This paper introduces the advantages of using big data mining algorithm in multimedia computer technology course, shows the operating environment to be met by using the multimedia computer-aided industrial system, follows the guiding principles of the overall design learning theory and artistic conception cognition theory, supplements specific industrial examples, and discusses multimedia industrial design.
Highlights
Multimedia technology fully integrates the computer system design mode and communication mode and combines the corresponding content of computer-aided industrial system with the form of the industrial mode
The courses are used in multimedia computer technology courses and are made by computers. erefore, the optimized education design is combined with the production advantages of computer software, and the idea is the system
Multimedia computer technology is applied to industrial system design
Summary
Multimedia technology fully integrates the computer system design mode and communication mode and combines the corresponding content of computer-aided industrial system with the form of the industrial mode. Computer multimedia-aided industrial design course takes computer as the industrial system media to help or replace staffs to perform industrial system activities [4,5,6]. Cai is the application field of computer and a new way of design planning and industrial system. E salient features of this new industrial system approach are interactivity and individuality. Interaction refers to the frequent direct communication activities between students and computers, that is, the computer monitors students’ learning through questions, and students timely understand the results from the feedback provided by the computer and get encouragement and guidance. Interaction refers to the frequent direct communication activities between students and computers, that is, the computer monitors students’ learning through questions, and students timely understand the results from the feedback provided by the computer and get encouragement and guidance. e so-called individuality means that students learn selectively according to their own characteristics and needs and make appropriate design for this purpose
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