权值
- 网络Weight;weighting;value
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权值光滑BP算法:一种改善网络推广性能的方法
Weight Smoothing BP Algorithm : A Method to Improve Network Generalization
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基于BP网络的权值更新快速收敛算法
Rapid convergence algorithms for weight values updating based on BP network
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在权值调整期间加入前N期权值结果,增强了训练的稳定性;
Applied the N former weights values to new modified weights can enhance training stability ;
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针对BP神经网络这些问题,本文提出了归一化输出误差的方法,引入了网络输出对权值的影响,有效地提高了网络的训练时间。
In this paper , the method of normalized output er-ror is proposed .
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BP网络初始权值的选取方法
A method of choosing BP network 's initial weights
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AHP中权值保序的一个有效算法
An Effective Algorithm for Keeping Order of Weight Values in Ahp
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Matchingpursuits视频编码中原子匹配块搜索中的权值设计
Weighted Atom Searching Algorithm in Video Coding Based on Matching Pursuits
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权值是一个与不封顶CPU结合使用的设置。
Weighting is a setting that is used in conjunction with uncapped CPUs .
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提出了通过任务QoS映射为负载权值的思想,并给出了一种改进的任务最少优先算法&加权负载率最小法,描述了以加权负载率表为核心的多任务均衡调度算法。
Further more , an effective load balancing algorithm and task schedule algorithm are given .
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由于BP算法的局限性,采用遗传BP算法对网络权值进行优化。
To avoid the localization of BP algorithm , using of genetic BP algorithm optimize the weight of networks .
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BP网络的权值变化和对新样本信息的辨识误差之间的测不准关系式
Uncertainty Relation Between the Weight Changes of BP Net-work and the Identification Errors of the Information for New Samples
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CDMA系统中阵列天线权值的ε近似算法
The ε - Approximation Algorithms for Weight Vector of Array Antenna in CDMA Systems
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修正初始权值的BP网络在CSTR故障诊断中的应用
Application of BP Network with Changing Initial Weights to CSTR Fault Diagnosis
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为了加快网络的学习过程,我们介绍了一种调整权值和阈值的学习方法,并且采用了C语言编制软件。
In order to accelerate learning process , a method is introduced to adjust weights and thresholds , also a software is programmed in C language .
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第二、本文采用遗传算法优化BP神经网络权值以实现入侵检测。
Second , this paper uses genetic algorithm to optimize weights of BP neural network in order to achieve intrusion detection .
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然后再利用BP神经网络的局部寻优能力,对权值和阀值进行进一步的精细调整。
Next , this modal uses the local searching ability of BP neural network to adjust the weights and thresholds elaborately .
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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 is built to calculate the weights and thresholds of multi-layer neural network by utilize BP algorithm and terraced optimizations .
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优化BP神经网络的方法有很多,常用的是用遗传算法优化神经网络的权值阈值。
There are many methods of optimize the BP neural network , commonly genetic algorithm is used to optimize neural network weights threshold .
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采用遗传算法和BP神经网络相结合的方法,对人工神经网络的连接权值和神经元阈值进行优化搜索。
Optimization based on the combination of genetic algorithm and BP neural network was executed on the neural network threshold and weights values .
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线性网络部分的参数采用递推最小二乘法辨识,多层前向网络的权值和阈值采用BP算法学习。
The parameters of linear network are identified by recursive least square and weights and thresholds of MFNN are learned by BP algorithm .
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该方法也可得到权值大于0的有理Bézier曲线,拓宽了适用范围。
The new method can also be used to produce the rational B é zier curve with positive weights .
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一种权值直接确定及结构自适应的Chebyshev基函数神经网络
Weights-directly-determined and Structure-adaptively-tuned Neural Network Based on Chebyshev Basis Functions
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在进行短期负荷预测时,应用K均值聚类原理将与预测日天气因素近似的样本挑出重新修正权值,并建立人工修正负荷预测值的依据。
During forecasting , the models implement active selection of training data with approximate clime factors to the forecasting day , employing the K-nearest neighbors concept .
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基于QR分解算法的自适应抗干扰阵列最优权值并行提取
Weights Extraction Method for Adaptive Anti Jamming Array Processing
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通过利用基于词频的权值计算,同时改进传统文本相似度计算概率模型,改进SVM算法实现邮件过滤系统。
We can use term frequency to have a weighted calculation and improve traditional text similarity calculation probability model in SVM algorithm .
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基于层次分析法(AHP)给出了电站仿真器的评价指标体系.并分析其权值;
Based on the hierarchy analysis process ( AHP ), the index system of appraising a fossil power plant simulator is given .
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通过使用遗传算法对神经网络的初始权值进行优化,可以在解空间中定位出一个较好的搜索空间,然后采用BP算法在这个小的解空间中搜索出最优解。
Through the use of genetic algorithms to optimize original weights and biases of neural network , a better searching space in solution space could be obtained .
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根据构建的网络层次结构采用ANP来确定各个指标的权值。
The weight of each index is calculated by ANP according to the constructed network hierarchy .
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自适应权值调整GS图像分割算法
Weights Adjusting GS Segmentation Algorithm
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基于遗传算法的LQ控制器的权值优化
Weight optimization of the LQ controller based on genetic algorithm