1) Weight-spectrum
权值谱
3) weight
[英][weɪt] [美][wet]
权值
1.
Evaluating Weight of Factors Affecting Mine Water Bursting with AHP;
应用AHP法评价矿井突水影响因素的权值
2.
Structural damage detection based on BP algorithm with weight and threshold synchro-learning ability;
基于权值、阈值同步学习BP算法的结构损伤检测
3.
Application of genetic algorithm to weights learning in BP network;
遗传算法在BP网络权值学习中的应用
4) weight value
权值
1.
Evaluation of atmospheric environment quality based on weight value analysis of matter-element extension and verification with example;
大气环境质量物元可拓的权值分析和实例验证
2.
The evaluationg model of industry design is judged comprehensively by applying the analyticalhierarchy process (AHP) method in this paper And the relative weight value, comprehensiveweight value of evaluationg indexes and essential factors of industry design are determined.
应用层次分析法，对工业设计评价模型进行综合评判，确定其工业设计评价指标、要素的相对权值和综合权值大小。
3.
This paper puts forward a kind of clustering algorithm based on the weight value,which effectively solves the problem and improves the agility and expansibility of the network management in order to manage large scale Ad Hoc wireless networks under different kinds of conditions.
提出了一种基于权值的分簇算法,有效解决了这个问题,从而提高了网络管理的灵活性和可扩展性,使之更适合于管理大规模、多种环境的Ad Hoc无线网络。
5) Weights
[英][weit] [美][wet]
权值
1.
Multi-focus image fusion method based on weights optimized by EI;
基于EI优化权值的多聚焦图像融合方法
2.
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。
3.
Aimed at the shortcomings of the BP algorithm,such as low efficiency of study,slow speed of convergence,easy to be trapped into local optimums,etc,this paper introduces Genetic Algorithm (GA) -a new algorithm based on natural selection and the principle of gene genetics, and discusses its weights optimizing in BP neural networks.
针对BP算法学习效率低、收敛速度慢,以及易陷入局部最优等缺点,提出了一种新型的、基于自然选择和基因遗传学原理的随机搜索算法——遗传算法(Genetic Algorithm),并论述了它在BP神经网络中权值优化的问题。
6) power value
权值
1.
In this paper,research on the stability,the convergence tendency of the power value,the sample identification rate of the BP Neural Network and the influence to the power value was made by the Network s general error with a example whose structure of the BP Neural Network is 3-5-2.
以结构为 3- 5 - 2的网络为例 ,对BP神经网络的稳定性、权值的收敛趋势、样本识别率和网络总误差对权值的影响等做了研究 ,结果表明系统总误差的减小会促使网络权值将向最优方向调整 ,但这种调整有一定极限 。
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