An improved BP algorithm is used to identify formation characteristics.
引入了一种改进的BP算法，用于由测井资料识别地层特性。
This paper introduces an improved BP algorithm for estimating ore grade.
本文介绍了一种改进的BP算法，用它来进行矿石品位估值。
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。
An improved BP algorithm is presented and it has more efficiency than the original BP algorithm.
并提出了一种改进的BP算法，提高了学习效率。
An improved BP algorithm and a learning sample generation method based on statistics are performed.
提出了一种基于统计的学习样本生成方法，使样本生成问题规范化。
This paper presents an improved BP algorithm, which can adapt learning rate using gold-segmentation.
本文提出了一种改进的BP算法，该算法基于黄金分割法自适应调整网络学习速率。
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。
Single parameter quick search method, an improved BP algorithm based on single parameter coordinate rotated method, is presented in this paper.
提出了一种基于单参数坐标轮换法的改进BP算法。
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。
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。
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。
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。
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。
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。
The error associating with the working distance and inclination angles is measured by using a specially designed device, and compensated via an improved BP neural algorithm.
提出了倾斜误差的检测方法并设计了检测装置，利用改进的BP神经网络模型实现了倾斜误差的补偿。
The error associating with the working distance and inclination angles is measured by using a specially designed device, and compensated via an improved BP neural algorithm.
提出了倾斜误差的检测方法并设计了检测装置，利用改进的BP神经网络模型实现了倾斜误差的补偿。
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