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。
The decay trend prediction model of mechanical equipment capability adopted single invisible layer feed forward network and chose the expansion speed of RBF, the network was established.
机械装备性能衰退趋势预测模型，采用单隐层前馈网络，通过径向基函数的扩展速度的选择创建网络。
The structure of a partially connected feed forward neural network and the training algorithm based on the recursive prediction error are constructed.
构造了局部连接的前馈神经网络的结构和基于递推预报误差的网络训练算法；
To improve the prediction results of protein secondary structure, we developed a neural network ensemble model based on dual-layer feed forward BP network.
为了提高蛋白质二级结构预测精度，本文尝试采用一种基于串联BP网络集成的二级结构预测模型。
The results show that the feed-forward control model has good predication ability. Maximal and average prediction errors of the model are less than 8% and 5%, respectively.
结果表明，前馈控制模型具有良好的预测能力，模型最大和平均预测误差分别小于8%和5%。
The results show that the feed-forward control model has good predication ability. Maximal and average prediction errors of the model are less than 8% and 5%, respectively.
结果表明，前馈控制模型具有良好的预测能力，模型最大和平均预测误差分别小于8%和5%。
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