An improved neural network based on L-M algorithm has been applied to fault diagnosis expert system against to the slow convergence rate of conventional BP neural network.
针对传统BP神经网络训练中收敛速度较慢的缺点，提出一种基于L - M算法的神经网络应用于机械设备故障诊断的专家系统。
Aiming at the problem of traditional PID control algorithm is difficult to get ideal control effect, an adaptive PID control algorithm based on BP neural network is proposed.
针对传统的PID控制算法很难获得比较理想的控制效果的问题，提出一种基于BP神经网络的自适应pid控制算法。
An algorithm of nonlinear predictive control method based on BP neural networks is proposed.
提出一种基于BP网络的非线性预测控制算法。
A fuzzy decoupling algorithm based on system characteristic parameters and an expert system of BP network based on repetitive verification are established.
提出基于系统特征参数提取的模糊解耦算法，以BP网络构成基于重复检验的专家系统。
Based on the idea of standard back-propagation (BP) learning algorithm, an improved BP learning algorithm is presented.
在标准反向传播神经网络算法的基础上，提出了一种改进的反向传播神经网络算法。
To decrease the false alarm rate and improve hit rate of IDS, an improved BP algorithm was applied to an ID model.
为了降低入侵检测系统的误警率，提高检测率，在入侵检测模型中应用了一种改进BP算法。
An algorithm of static human face detection based on BP network is proposed.
提出了一种基于BP神经网络的静态人脸检测算法。
This paper discusses about an algorithm of calculating the pulse switch Angle by using of forward network BP algorithm based on the Neural network, and makes the MATLAB simulation.
论述了用神经网络中的前向网络BP算法来计算脉冲开关角的一种计算方法，并进行了MATLAB仿真。
An improved BP algorithm has been proposed for realization of multi-target recognition.
为了实现对多目标的识别，提出了一种改进的BP算法。
Based on the identification model, an adaptive fuzzy neural networks voltage controller was designed. The parameters of the controller are regulated by adopting the novel BP algorithm.
基于该辨识模型，设计了一个自适应模糊神经电压控制器，其参数采用改进的BP算法进行在线修正。
An example of the algorithm's application in electric power system load forecasting is shown and compared with standard BP algorithm.
文中给出了这种算法在电力系统负荷预测中的实际应用，并与标准BP算法作了比较。
This paper discusses the technology of DM based on ANN(artificial neural network), puts forward an improved BP algorithm, and carries out analysis and testing in terms of the algorithm.
探讨了基于人工神经网络的数据挖掘技术，提出了一种改进的BP算法，并针对这种算法进行了分析测试。
Next, an Improved Back Propagation(IBP)algorithm is proposed, considering the drawbacks of the standard Back Propagation (BP) in the neural network theory.
接着，作者对神经网络理论中的标准反向传播算法BP作了改进并提出了IBP算法。
Due to the shortage of traditional color matching methods applied with BP neural network, an improved algorithm is put forward in this paper. The new algorithm references the outputs of hidden layer.
本文针对传统的BP网络在织物染色配色中的缺点，提出了一种参考隐层输出的改进算法，建立了一个计算精度更高、收敛速度更快的计算机配色网络模型。
First of all, pretreatment of human ear pictures was completed. Then an improved 2dpca algorithm was used to compress feature dimension. Finally, BP neural network was used in ear classification.
该方法首先对人耳图片进行预处理，然后采用改进的两级2dpca算法，进一步压缩提取的人耳特征维数，最后采用BP神经网络进行分类识别。
First of all, pretreatment of human ear pictures was completed. Then an improved 2dpca algorithm was used to compress feature dimension. Finally, BP neural network was used in ear classification.
该方法首先对人耳图片进行预处理，然后采用改进的两级2dpca算法，进一步压缩提取的人耳特征维数，最后采用BP神经网络进行分类识别。
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