Experiment results show that feed-forward backpropagation network achieves the best performance, which reduces average error rate by54.4%.
实验结果表明前馈后向传播网络的性能最好，与基准模型比较平均错误率下降54.4%。
This paper presents a kind of software faults prediction model based on artificial neural network and the structure of the feed-forward multi-layer network with backpropagation learning algorithm.
该文介绍了一种基于人工神经网络的软件失效预测模型，给出了基于反向传播算法的多层前向网络的网络结构。
This paper discusses backpropagation neural network model and BP algorithm to determine market response functions.
探讨了利用反向传播神经网络和BP算法确定市场响应函数的方法。
应用推荐