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。
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。
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。
Training a multilayer neural net by BP algorithm is slow and it is difficult to choose the number of hidden units and layers in advance.
使用BP算法训练多层网络的速度很慢而且事先难于确定隐节点和隐层的适当数目。
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。
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。
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。
A mixed NN model is constructed using BP algorithm improved with dynamic learning rate.
利用动态学习率改进BP算法，建立了混合神经网络模型。
Further, a hybrid BP algorithm with dead interval of error is derived for training the neural classifier in order to increase training speed and classification accuracy.
此外，提出用带输出误差死区的混合BP算法训练神经元分类器，提高了网络学习训练速度和分类准确性。
Particle Swarm Optimization as a Swarm Intelligence algorithm, has strong global search capability, can be used for training neural network to overcome the defect of BP algorithm.
然而在粒子群优化算法中，早熟现象时有发生，从而制约了算法的性能。
The training model of test simulation for car of inverted pendulum based on BP algorithm of artificial neural networks (ANN) is a BP network that has 4-input and 3-layer structure.
基于人工神经网络BP算法的倒立摆小车实验仿真训练模型，其倒立摆BP网络为4输入3层结构。
Based on the BP (back propagation) model for excitation characteristics of transformer, a modified BP model is presented and the corresponding algorithm is also deduced.
在变压器励磁特性的BP模型基础上，提出了一种修正的BP模型，并推导了相应的算法。
A technological research on recognition of handwritten Chinese characters based on improved BP algorithm is summarized. This algorithm can enhance convergence speed.
研究了手写体汉字识别技术，采用改进BP算法进行网络训练，提高了算法的收敛速度。
To synthesize the advantages of standard BP algorithm and "batch learning" BP algorithm, a new algorithm is put forword.
综合了标准BP算法与“批处理”BP算法的各自特点，提出了一种新的BP网络的学习算法。
This paper proposes a new global optimization technique in which combines the filled function method and BP algorithm for Training feedforward neural networks.
把填充函数法与BP算法相结合，提出一种训练前向神经网络的混合型全局优化新算法。
About algorithm, the paper has presented a self-adaptive error BP algorithm which can prevent the networks from getting in the part least and can shorten the studying time.
在网络算法上，提出一种自适应的BP算法，该方法能有效的抑制网络陷于局部极小并缩短了学习时间。
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。
After discussing the standard BP algorithm and its flaw, the paper presents a modified BP algorithm.
在对BP网络基本算法及其存在问题讨论的基础上，提出了一种改进的BP算法。
Based on conventional BP algorithm, a modified BP learning algorithm is proposed.
在传统的BP算法基础上，提出了一种改进的BP学习算法。
Simulation results show that with complexity greatly reduced, piecewise linear approximation algorithm achieve a performance very close to that of the BP algorithm.
仿真结果表明，曲线折线化算法在复杂度大幅度降低的情况下性能接近BP算法。
Back projection (BP) algorithm is a popular imaging algorithm for impulse SAR.
后向投影(BP)算法是一种被广泛应用于冲激sar的成像算法。
Based on the study of BP neural network and PID controller, a single neuron adaptive PSD algorithm is presented.
在对BP神经网络PID控制器系统研究的基础上，提出了单神经元的自适应PSD算法。
Analyzing the integral splitting PID algorithm, and melting the wide-used PID controller and the automatic learning neural network, got a PID control algorithm based on the BP network.
分析了积分分离pid控制算法，在此基础上，将应用最广泛的PID控制器与具有自学习功能的神经网络相结合，得到了基于BP神经网络的PID控制算法。
Analyzing the integral splitting PID algorithm, and melting the wide-used PID controller and the automatic learning neural network, got a PID control algorithm based on the BP network.
分析了积分分离pid控制算法，在此基础上，将应用最广泛的PID控制器与具有自学习功能的神经网络相结合，得到了基于BP神经网络的PID控制算法。
应用推荐