BP-neural-network-model

  研究并分析了B P神经网络的结构和特点，针对不足之处提出改进方法。在改进的基础 上建立神经网络软件可靠性新模型。通过MATL AB仿真工具进行了实例仿真，证实该新模型比传统 模型预测精度高，泛化能力强(Research and analysis of the structure and characteristics of BP neural network, an improved method for the shortcomings. In the modified base The establishment of a new model of neural network software reliability. By MATL AB simulation tool was simulated, confirmed that the new model than the traditional Model predicts high precision, strong generalization ability)