权值

  • 网络Weight;weighting;value
权值权值
  1. 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

  2. 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

  3. 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 ;

  4. 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 .

  5. BP网络初始权值的选取方法

    A method of choosing BP network 's initial weights

  6. AHP中权值保序的一个有效算法

    An Effective Algorithm for Keeping Order of Weight Values in Ahp

  7. 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

  8. 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 .

  9. 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 .

  10. 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 .

  11. 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

  12. 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

  13. 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

  14. 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 .

  15. 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 .

  16. 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 .

  17. 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 .

  18. 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 .

  19. 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 .

  20. 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 .

  21. 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 .

  22. 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

  23. 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 .

  24. 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

  25. 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 .

  26. 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 .

  27. 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 .

  28. 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 .

  29. 自适应权值调整GS图像分割算法

    Weights Adjusting GS Segmentation Algorithm

  30. 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