BP Neural Network Trained by Strong Tracking Filter and It s Application Investigation on System Identification;
基于强跟踪滤波器训练的前向神经网络及其在系统辨识中的应用研究
The over fitting problem of feed forward neural network was analyzed in statistics.
着重分析了前向神经网络在学习过程中过学习问题产生的统计学机理 ,并根据统计学习理论提出了一种新的准则函数·该准则函数综合考虑了网络的逼近性、容错性和归纳性 ,并且算法实现起来简单 ,易于在线选择·同时还提出一种新的网络结构学习算法·最后用该学习算法进行网络训练 ,仿真结果显示了算法的有效性和实用性
A feed forward neural network(FFNN) for the corner classification 4(CC4) can instantaneously classify text data.
角分类前向神经网络CC 4可以快速对文本数据进行分类处理。
Fault-tolerance analysis of feedforward neural networks with the Chebyshev inequality method;
前向神经网络容错性分析的切比雪夫不等式法
Research on generalization capability of feedforward neural networks;
前向神经网络泛化问题研究
Learning strategy of feedforward neural network based on immune algorithm;
基于免疫算法的前向神经网络学习方法
Application of feedforward neural networks based on H_∞ filter in SINS;
基于H_∞滤波算法的前向神经网络在SINS初始对准中的应用
A new algorithm for improving the generalization performance and real-time ability of feedforward neural networks;
提高前向神经网络泛化性能和实时性能的新算法
Learning algorithm for feedforward neural networks;
前向神经网络学习算法研究