人工神经网络在螺旋桨设计中的应用

Application of Artificial Neural Network to Design of Propeller

人工神经网络 (artificialneuralnetwork)是近些年兴起的一门新兴学科 ,在信号处理与模式识别、知识处理工程或专家系统、运动过程控制等领域应用得比较广泛 .笔者运用前向多层神经网络理论 ,采用误差反向传播方法 (BP法 )编制了人工神经网络计算机应用程序 ,将人工神经网络应用到船舶螺旋桨设计中 .通过对部分类型螺旋桨图谱的训练 ,并将其数据与回归分析的数据相比较 ,结果表明 :所应用的理论是可靠的 ,精度是足够的 ,特别是对螺旋桨图谱训练的结果是完全具有实用价值的 .

As one of the new subjects developed in recent years, artifical neural network has been used widely in the areas of signal treatment, mode detecting, knowledge processing engineering or specialist system and controlling for motion process. In the paper, the author made up artifical neural network computer program by means of utilizing forward multy-layer neural theory and adopting error backward propagating method, and applied artificial neural network to the design of propeller.Through the training of some propeller charts, and comparing data with the regression anylyse value, the result shows that the theory using this paper is reliable; the precision is enough and sufficient. It is with great practical value for the training of propeller chart.