The Review of Intelligent Mechanical Engineering Based on Artificial Neural Network

Abstract

The application of artificial neural network theory has penetrated into all fields, and in the intelligent control, the development of the neural network computer optimization computing, computer vision and image processing, pattern recognition, continuous speech recognition, data compression, knowledge processing showed its great application value, has made encouraging progress. In the field of mechanical fault diagnosis, the application of artificial neural network is still in the stage of development. In this paper, the intelligent diagnosis of machine faults, the mechanical structure analysis and geometry modeling and mechanical design, optimization of the application of artificial neural network technology in some studies. . With the development of the theory and perfect, will be on the development of intelligent mechanical engineering plays a more important role. Introduction Artificial Neural Network is a very rapid development of cross subject, it comes to biology, computer science, mathematics, electronics, physics, psychology, cognitive science and many other subjects. It is the study of the adaptive programming information system of an engineering discipline, is actually a new information processing technology. Its principle is on the basis of modern neuroscience research results, using huge amount of parallel, segmental storage and simulation approach, trying to reflect some of the basic characteristics of the human brain information processing [1-2]. With the development of the theory and perfect, will of the development of intelligent mechanical engineering plays a more important role. With the application of modern science and technology on the device, the structure of the modern mechanical equipment more and more complex, function more and more complete, more and more is also high degree of automation. Artificial neural network has extensive application in the field of mechanical engineering [3]. From the basis of the mechanical engineering disciplines to the machine design, manufacture and operation, artificial neural network technology is pervasive, so to speak. In this paper, the intelligent diagnosis of machine faults, the mechanical structure analysis and geometry modeling and mechanical design, optimization of artificial neural network technology in the application of some review. As you might expect, with the passage of time and research thorough, the artificial neural network technology in mechanical engineering will also appear more applications in the field of research subject. Artificial neural network model applied in the field of mechanical engineering BP neural network. BP neural network is multilayer feed forward neural network based on BP algorithm, it is D.E. Rumelhart, J.L. McCellnad and their team studied and designed in 1986 [4]. Currently, the practical application of artificial neural networks, the vast majority of the neural network model is BP and its variants, it is also a former core network, reflecting the most essential part of the artificial neural network. BP neural network is a multi-layer network, the input layer and output layer, hidden layer (layer or multi-layer structure, a typical three-layer BP neural network