利用人工神经网络进行无损检测的探讨

The Exploration on Using Artificial Neural Network Solving Problem of NondertructiveTesting

无损检测的问题可视为特殊的模式识别的问题,而人工神经网络是处理模式识别最有效的技术和方法之一。本文探讨用人工神经网络的方法进行无损检测,并特别给出了用误差反向传播网络进行无损检测的方法。

Nondestructive testing is considered as a problem of pattern recognition. Artificial neural network (ANN) is the most effective method of solving the problem of pattern recognition. This paper explore how using the method of artificial neural network solving Nondestructive testing. A method of error back -propagation network realization of Nondestructive testing is also given