System reliability calculation based on RBF neural network

In order to improve the calculation accuracy of structural system failure probability, RBF neural networks which is based on the failure probability data calculated accurately can simulate into the four-dimensional space neural network of a single output neuron and three input neurons because system failure probability is related to reliability index, failure mode number and the correlation coefficient among the failure modes. As long as the networks meet the accuracy requirements and the training is completed, calculating neural network of system failure probability comes into being. The vector which is formed by the reliability index, failure mode number and the correlation coefficient is fed into the neural network, and then the probability of system failure can be accurately figured out. This method has high precision, the computational efficiency of fast and practical value in engineering calculations.