Neural network-based optimization algorithm for intelligent manufacturing

Abstract

The development of China's manufacturing industry is slowing down, the reason is that the main body is still built by traditional skills as the core, and many industries are using traditional human resources, or carrying out repetitive mechanized work, which makes the manufacturing industry scale is huge but the degree of intelligence and automation is not high, and the manufacturing cost and revenue begin to imbalance. Therefore, it is the mainstream trend to promote the transformation of traditional manufacturing industry into intelligent manufacturing, and with the current development of artificial intelligence, more and more intelligent manufacturing technology is used in traditional manufacturing industry, and the research on neural network is getting deeper and deeper, and the field of machine learning is getting more and more mature. In this paper, on the basis of the main model of BP neural network, the optimization design is completed on the genetic algorithm, and a new optimization design algorithm is applied to the intelligent manufacturing industry to accelerate the transformation of the traditional manufacturing industry to the direction of intelligent manufacturing.