Study on the Design Method of Cartoon Character Modeling Based on Evolutionary Computation

The animation industry is in a relatively advanced development state among emerging industries in China. Due to the excellent expression of anime character images and their ability to fully express the theme ideas through language, expressions, music, and other means, they have received good evaluations. However, in 3D anime design, the aesthetics and quality of cartoon character designs will directly aff ect the artistic expression of the work. Therefore, this article fi rst outlines the background of cartoon character design in anime, and on this basis, proposes the use of evolutionary calculus methods to design the evolutionary generation and styling of cartoon character components. Through experiments, it has been shown that the method of evolutionary computation is benefi cial for improving the design speed of cartoon character designs and greatly reducing the workload of designers

Intelligent Recognition of Laser Welding Deviation Based on Improved Neural Networks

Laser welding technology has become one of the most commonly used high-precision welding methods in the field of modern industrial manufacturing, but there are deviations in the laser welding process, such as uneven weld seams and positional shifts, etc., which will directly affect the quality and performance of the welded joints. Therefore, accurately identifying and timely correcting these laser welding deviations is crucial to ensure welding quality and improve productivity. The aim of this study is to realize the intelligent identification of laser welding deviations based on an improved neural network approach

The application of CNC laser engraving technology in the porcelain base style

The progress of science and technology also promotes the progress of art, the birth of new technology at the same time promotes the progress and development of art, the two complement each other. It only occupies a small part of the whole development history of ceramics, but as a witness of the historical development of ceramics, it has witnessed the development of ceramics. With the development of The Times, all kinds of innovative significance of the bottom of the emergence, the emergence of CNC carving technology, also changed the production of ceramic bottom, to a certain extent to broaden the development space of ceramic art

Exploration on innovative path of experimental teaching of electronic circuit course in colleges and universities

In the Internet era, the demand for applied and innovative electronic communication talents is increasing. How to promote the reform of electronic circuit course experimental teaching, help students understand the course knowledge in practice and improve their practical ability has become the key issue for colleges and universities to improve the quality of electronic circuit teaching. This paper takes the electronic circuit course in colleges and universities as the research object, starts with the big gap in experiment progress, the single form of experimental teaching and the large consumption of experimental teaching resources, expounds the existing problems in the experimental teaching of electronic circuit course, and focuses on the development of micro-class experiment video, the design of stratifi ed experiment in the course, the introduction of virtual simulation practical training and the optimization of experimental teaching assessment. To explore the innovative path of experimental teaching of electronic circuit courses in colleges and universities

Analysis on the Development of Mechanical Design, Manufacture and Automation in Modern Enterprises

With the acceleration of the digital process, in order to solve the hidden danger of data security, this paper takes data management as an example for in-depth research. In the data collection stage, detailed data collection policies are formulated to clarify business needs and reduce information risks. Advanced encryption technology and secure communication channels are adopted to ensure data transmission confidentiality. In the data storage stage, establish a permission management system to limit access and reduce the risk of internal abuse. Conduct regular safety audit and risk assessment to timely identify and correct potential safety risks. The research results aim to provide effective reference for data security management

Research on classroom teaching reform path of solar cell new technology under the background of new engineering

Under the background of new engineering, the teaching mode of solar cell new technology needs to adapt to the change of social demand for related professionals, provide more practical education content, and train students with innovative ability and practical ability. In order to further improve the eff ective improvement of the quality of classroom teaching of new solar cell technology, professional teachers in colleges and universities should adopt advanced teaching concepts and reform and innovate classroom teaching activities. Based on this, this paper starts from the signifi cance of classroom teaching reform of solar cell new technology under the background of new engineering, analyzes the current situation of classroom teaching of solar cell new technology, and puts forward optimization strategies

The Practice of Artificial Intelligence Technology in Mechanical Design and Manufacturing and its Automation

With the rapid development of science and technology, artificial intelligence technology has made remarkable achievements in all walks of life. In the field of mechanical design and manufacturing, artificial intelligence not only brings disruptive changes to the traditional manufacturing methods, but also provides new possibilities for automated production. This paper will deeply explore the practice of artificial intelligence technology in mechanical design, manufacturing and its automation, in order to provide a useful reference for the future development of the industry

Research on thrust fl uctuation suppression and control algorithm of permanent magnet linear synchro

Compared with the conventional rotary motor, the permanent magnet linear synchronous motor (PMLSM) has the advantages of simple structure, large thrust and good fast response. However, due to the linear motor ripple disturbance and positioning force changes will cause thrust fl uctuatio ns, but also aff ected by the end eff ect, slotting force and load changes, system parameter drift, nonlinear friction force, etc., resulting in poor system controllability, which directly aff ects the positioning and trajectory tracking accuracy of the linear motor, by observing the thrust fl uctuations of the permanent magnet linear synchronous motor, By using prediction function and fuzzy control algorithm, the thrust fl uctuation suppression method based on fuzzy prediction function control is established, and the improved prediction function fuzzy controller is constructed. According to the deviation and deviation change rate of the system, the parameters of the fuzzy controller are optimized and adjusted online by using the proportional coeffi cient, so as to improve the comprehensive performance of the linear motor servo system, and provide the theoretical basis and technical approach for realizing the high-performance linear motion system

Research on the Application and Optimization of Knowledge Graph in Automatic Machine Learning

Automatic Machine Learning (AutoML) refers to the use of machine learning techniques to automate the entire process of machine learning, including data preprocessing, feature selection, model selection, and hyperparameter optimization. As a structured method for representing and storing knowledge, knowledge graphs have broad application prospects in automatic machine learning. By fully utilizing the information in the knowledge graph, the intelligence and decision-making ability of automatic machine learning systems can be strengthened, promoting the development and application of machine learning technology in various fields

Application of Machine Learning in Printing Circuit Board of Electric Vehicle: Enhancing Manufacturing Processes and Product Quality

The electric vehicle industry are growing rapidly due to the increasing demand for sustainable transportation solutions. However, the production of electric vehicles involves complex manufacturing processes that require high precision and accuracy to ensure the quality of the final product. One of the critical components of electric vehicles is their printed circuit boards (PCB), which play a crucial role in controlling and regulating the vehicle’s electronic systems. The application of machine learning in electric vehicle printing can enhance the manufacturing processes and product quality by providing real-time monitoring, prediction, and optimization capabilities. And this study concentrates on two main problems: firstly inadequate load capacity, that circuit boards can’t load high current and voltage and secondly reliability issues caused by harsh working environments, such as large temperature fluctuations, high humidity, strong vibrations, and excessive dust, which can easily lead to circuit board failure.One of the biggest innovation of this paper is using machine learning to analyze the relationship between some factors and circuit board lifespan