Intelligent Manufacturing Training Base of Deep Integration of Production and Education Based on Genetic Optimization Neural Network

摘要

Genetic algorithm has powerful global search ability, which can be used to optimize neural network to improve algorithm performance. The genetic algorithm simulates the process of biological evolution, and goes through continuous reproduction and evolution from generation to generation to obtain the individual with the highest fitness. The demand for multi-disciplinary and inter-professional compound technical and skilled talents in intelligent manufacturing, intelligent control, multi-axis CNC machine tools, industrial robots, intelligent management and control platforms, cloud computing and big data is increasing day by day. Higher requirements are put forward for colleges and universities, especially vocational colleges and universities that focus on cultivating professional skills. It is necessary to strengthen the integration of production and education, school-enterprise cooperation, deepen the realization of a high degree of integration with relevant intelligent manufacturing enterprises, and complete the construction of intelligent manufacturing training bases with the help of enterprises. With the in-depth development of my country's industrial transformation and upgrading, the industry's demand for high-skilled talents has become more and more urgent, and the important position and role of vocational education has become more and more prominent. Through the application and practice of the training base, it is expected to be strengthened and supplemented in the aspects of teaching system, teaching practice resources, teachers'applied technical ability, and talent evaluation. However, the traditional genetic algorithm itself also has some problems such as local optimum and premature. To overcome the premature phenomenon and improve the local search ability, the genetic algorithm is improved, and then the improved algorithm is used to improve the performance of the genetic optimization neural network. In this paper, aiming at the genetic optimization neural network in the context of today's intelligent manufacturing, higher vocational schools should strengthen the integration of industry and education, improve the construction of training bases, and promote the comprehensive improvement of students'professional technology and skills, innovation ability and other abilities in the light of the needs of social development in the new era.