Alternative use of improved particle swarm optimization neural network BP algorithm weight value.
利用改进粒子群算法替代BP算法优化神经网络的权值系数。
In the active noise control system we apply neural network control method and derive neural network BP algorithm.
在噪声主动控制系统中采用神经网络控制方法，给出了神经网络BP算法的一种变异算法。
The improved BP algorithm added momentum item and chaotic mapping was adopted in fault diagnosis of power supply system based on chaotic neural network.
基于混沌神经网络的供配电系统故障诊断，采用引入动量项和混沌映射的改进BP算法。
A bolt supporting parameter selection neural network construction has been developed, the software is programmed based on BP algorithm.
设计了预测回采巷道锚杆支护参数的神经网络结构，并根据BP算法编制了软件。
A bolt supporting parameter selection neural network construction has been developed, the software is programmed based on BP algorithm. The practice result shows that this method is effective.
设计了预测回采巷道锚杆支护参数的神经网络结构，并根据BP算法编制了软件。实际应用结果表明这一确定锚杆支护参数的方法是有效的。
Finally, the experiment results compared with the BP neural network algorithm and polynomial matching algorithm show that the new model improves color conversion accuracy effectively.
最后，本算法与BP神经网络和多项式拟合算法比较，色彩转换精度有明显提高。
Based on expatiated the basic structure model and some general improved algorithms of BP neural network, this paper brings forward a new self-organization learning algorithm.
介绍了BP网络的基本结构模型与常见改进算法，在此基础上提出了一种新型的结构自组织BP网络算法。
A pruning algorithm based on entropy theory for designing BP neural network structure is proposed.
提出了一种基于熵理论的BP神经网络结构设计修剪算法。
In order to correct the measuring results of moisture from microwave resonator, the IA-BP optimization algorithm based evolutionary neural network model is presented.
为了对微波谐振腔含水率测量结果进行校正，提出一种基于IA - BP优化算法的进化神经网络模型。
In the arithmetic base, besides some general predict algorithm as glide average, exponential smoothness, linearity regress, etc, it adds BP neural network algorithm for forecast.
在算法库中，除了部分的常规预测算法，如滑动平均、指数平滑、线性回归等，还加入了BP神经网络算法进行预测。
In this paper, we proposed a parallel BP neural network learning algorithm with the support of PC cluster under the circumstance of PVM (parallel Virtual Machine).
本文提出了一种利用微机机群来实现并行处理，在并行编程环境P VM中实现BP神经网络的并行学习算法。
In this paper, an image hashing algorithm based on BP neural network is presented.
本文提出了一种基于BP神经网络的图像哈希算法。
To BP neural shortcoming of network, study one dynamic self-adaptation is it study improvement type BP algorithm of parameter to adjust.
针对BP神经网络的缺点，研究了一种动态自适应调整学习参数的改进型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。
A scale training algorithm of BP neural network is used, and sample reorganization method is proposed. Its advantage is the fast training speed and good feature extraction ability.
作者使用比例训练的BP算法，提出对训练模式进行样本重组的方法，其特点是训练速度快、特征抽取能力强。
Neural network BP training algorithm based on gradient descend technique may lead to entrapment in local optimum so that the network inaccurately classifies input patterns.
基于梯度下降的神经网络训练算法易于陷入局部最小，从而使网络不能对输入模式进行准确分类。
This paper describes a new method for rotor fault diagnosis of electric machinery drag system, artificial neural network, which is based on BP algorithm.
介绍了一种基于BP算法的神经网络在电机转子常见故障诊断中的应用。
This paper reviewed the basic principle of artificial neural network, BP algorithm and improved BP algorithm.
介绍了人工神经网络的理论基础、BP算法以及改进BP算法。
The way double polarity s function and LM algorithm combine with BP neural network is analyzed in the paper. The steps of new algorithm were given.
分析了双极性S型函数及LM算法与BP神经网络具体结合实现的方法，并给出了算法步骤。
Among the algorithms which being used to train the forward neural network, BP algorithm is the one, which get the most common used and achieve the best practical effect.
算法是训练多层前向神经网络的算法中最常用、在实际应用中效果最好的一种。
Aiming at the defects of BP artificial neural network, combined with Differential Evolution Algorithm, the paper proposes a tourist quantity prediction model based on DE-BP neural network.
针对BP人工神经网络所存在的缺陷，结合差异演化算法，提出了基于DE - BP神经网络的旅游客源预测模型。
Back propagation (BP) algorithm is often used for the weights training of neural network, but the convergence speed of BP algorithm is slow.
反向传播(BP)算法常常用于神经网络的权值训练中，但是BP算法收敛慢。
This paper puts forward the optimization algorithm of BP neural network on the basis of the introduction of the neural network basic principle: BP-1 algorithm.
本文在介绍神经网络基本原理的基础上，提出了BP神经网络的优化算法BP - 1算法。
Mixed method was built to calculate the weights and thresholds of multi-layer neural network by utilize BP algorithm and terraced optimizations.
为确定多层人工神经网络的权值和阈值建立了混合求解方法，即迭代前期采用BP算法，而迭代后期采用梯度优化法进行计算。
Mixed method was built to calculate the weights and thresholds of multi-layer neural network by utilize BP algorithm and terraced optimizations.
为确定多层人工神经网络的权值和阈值建立了混合求解方法，即迭代前期采用BP算法，而迭代后期采用梯度优化法进行计算。
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