The application of multi-layer feed-forward artificial neural network in fault equipment diagnosis includes feature value setting of equipment operation condition and fault judgment.
多层前馈人工神经网络在装备故障诊断中的应用含设备运行状态特征值设定和故障判定。
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 structure of multi-layer feedback forward neural network is optimized by improved PSO. Learning quality and training speed of the neural network are improved.
提出的自适应粒子群优化算法，用于优化多层前馈神经网络的拓扑结构，提高了神经网络的学习质量和速度。
In this paper, a new method to generate the texture image by use of Multi layer feed forward neural network is presented.
提出了一种利用多层前馈神经网络生成纹理图象的新方法。
In this paper, a new method to generate the texture image by use of Multi layer feed forward neural network is presented.
提出了一种利用多层前馈神经网络生成纹理图象的新方法。
应用推荐