Robustness analysis of feedforward neural networks composed of threshold neurons
Liangtu Yang, Dongcheng Hu, Yupin Luo, Xiaozhong Zhang · 2002
Based on a stochastic model for inputs and weights, and in view of the disturbance of correlative and large input and weight errors, a general algorithm to obtain the output error feature of multilayered feedforward neural networks composed of threshold neurons is proposed by adopting a statistical approach. The result of computer simulation indicates the correctness and excellent precision of the algorithm.