Application & Research Of Neural Network In Recognition And Control Of Major Incipient Danger & Hazards In Manufacture Of Fosfomycin Sodium

This paper based the project of recognition and control of major incipient danger & hazards in manufacture of Fosfomycin sodium in Northeast General Pharmaceutical Factory, solved the problem of the measurement of dynamic liquid level, made a summary of the variational rule of liquid level ,graded the incipient danger & hazards by using BP networks of artificial neural networks. At the last part of this paper, it provided several control scheme based on NN only for researches.The network consists of three layers: the input layer, the hidden layer, and the output layer. The nodes and the connectivity between the layers determine the performance of the BP neural network. Discussed are the problem of determining the number of hidden layer's neural units, standardizing of input vectors and choosing the initial connecting weights etc. Also this paper improved and optimize the basic BP arithmetic, and designed the measurement module of dynamic liquid level and the recognition module of incipient danger & hazards based BP NN. The system constructed on DOS with C program.The measurement network module of dynamic liquid level reflected the variational factors and their degrees, produced a simple way of incipient accident recognition, important of all , it made for bettering craft . The recognition network module of incipient danger & hazards divided them into several graduations, assured of safety-control & process-control.