自组织竞争神经网络,self-organizing competitive neural network
1)self-organizing competitive neural network自组织竞争神经网络
1.On the basis of the artificial neural networks(ANN),aself-organizing competitive neural network model was developed and used for automation recognition of dynamometer cards and fault diagnosis for suck rod pumping system.5进行编程,应用相同的数据对BP神经网络模型和自组织竞争神经网络模型的识别效率进行了对比。
2.Then,a two-layerself-organizing competitive neural network was built.从ECT传感器的输出中提取特征参数作为软测量模型的辅助变量,两相流流型为主导变量,构建二级自组织竞争神经网络,进而实现对两相流流型的在线判别。
3.Twenty-one absorption peak data from the first three principal componment compressed from the original data by PLS were taken as inputs of theself-organizing competitive neural network.用PLS法对原始数据进行主成分压缩,采用自组织竞争神经网络建模。
英文短句/例句
1.The color feature parameters for wood surface of four common tree species in Northeast China were determined and compared.按颜色参数用自组织竞争神经网络进行了分类。
2.The Intelligent Traffic Phase Control Based on Self-organizing Competitive ANN;基于自组织竞争神经网络的智能交通相位控制
3.THE APPLICATION OF SELF-ORGANIZING COMPETING NEURAL NETWORK IN DECISION MAKING ANALYSIS;自组织竞争神经网络在决策分析中的应用
4.Cluster Analysis of Self-organizing Competitive Neutral Net Based on MATLAB;基于MATLAB的自组织竞争神经网络聚类研究
5.Steganography Based on Self-organizing Competitive NNs and Wavelet基于自组织竞争神经网络和小波变换的密写
6.Self-organized Competing Neural Network and Its Application in Compartmentalizing Social Economy Areas;自组织竞争神经网络及其在社会经济区划中的应用
7.An improved hyperspectral remote sensing image classification method based on SOFM neural network基于改进自组织竞争神经网络的高光谱图像分类
8.The Algorithm of Back-Off and Contention Avoidance of Media Access Control in Wireless Ad Hoc Networks无线自组织网络MAC层退避和竞争避免算法研究
9.Self-organization of WSN based on biology competition基于生物竞争的无线传感器网络自组织算法
10.Research on a Self-Organizing Fuzzy Neural Networks Algorithm;一种自组织模糊神经网络算法的研究
11.A Research of the Speech Recognition Based on the SOM Model;基于自组织神经网络的语音识别研究
12.Application of Fuzzy Self-organizing Neural Network in Clustering;模糊自组织神经网络在聚类中的应用
13.A Study on Improved SASONN;一种改进的结构自适应自组织神经网络的研究
14.Word Clustering Based on Self-Organizing Map;基于自组织映射神经网络的词自动聚类
15.Core Competence of Enterprise and Risk Control in Networked Organization;企业核心竞争力与网络组织风险控制
work Organization--a New Innovative Organization of Making Small and Medium Enterprises More Competitive;网络组织:增强中小企业竞争力的组织创新形式
17.Vector Quantization Based on Self Organizing Feature Map Neural Network基于自组织特征映射神经网络的矢量量化
18.A SELF-ORGANIZATION FUZZY CONTROLLER WITH FAM NEURAL NETWORKS具有模糊联想神经网络的自组织模糊控制器
相关短句/例句
self-organization competitive neural network自组织竞争网络神经网络
3)Self-organized Competitive Neural Network(SCNN)自组织竞争人工神经网络
1.Because Back-propagation Neural Network(BPN) has the shortcomings of bad convergence and low efficiency,and Self-organized Competitive Neural Network(SCNN) can overcome these shortcomings.提出了将自组织竞争人工神经网络(SCNN)和小波矩结合进行图像旋转不变识别的新方法。
4)Self-organizing NNs自组织竞争型人工神经网络
1.The paper usesSelf-organizing NNs as tools to cluster the level of present transportation-development of all the provinces in our country.通过直截利用人工神经网络中的工具箱函数 ,进行编程 ,能迅速得到正确、简明的结果 ,说明了自组织竞争型人工神经网络用于解决分类问题的正确
5)self-organizing competitive network自组织竞争网络
1.Based on the theory ofself-organizing competitive network,the present paper discusses the appraisal system of basketball teaching.运用自组织竞争网络理论与方法,通过教学实验初步构建高等院校体育专业篮球教学评价体系。
2.The effect of samples training on BP neural network performance with the clustering characteristic ofself-organizing competitive network is improved.通过自组织竞争网络的聚类特征,改善样本训练对BP网络性能的影响。
6)self-organizing neural network自组织神经网络
1.A study of some problems in pattern recognition byself-organizing neural network;对自组织神经网络模式识别方法中若干问题的研究
bustion stability study based on statistic analysis andself-organizing neural network;基于统计分析和自组织神经网络的燃烧稳定性研究
3.Improved dynamical binary-tree basedself-organizing neural network algorithm;一种改进的动态二叉树的自组织神经网络算法
延伸阅读
Hopfield神经网络模型Hopfield神经网络模型Hopfield neural network model收敛于稳定状态或Han加Ing距离小于2的极限环。上述结论保证了神经网络并行计算的收敛性。连续氏pfield神经网络中，各个神经元状态取值是连续的，由于离散H6pfield神经网络中的神经元与生物神经元的主要差异是:①生物神经元的I/O关系是连续的;②生物神经元由于存在时延，因此其动力学行为必须由非线性微分方程来描述。为此，在1984年J.J.H叩fi酗提出了连续氏pfield神经网络，它可用图1所示的电路实现，其动态方程┌───┐│·T叮 │└───┘图1连续F砧pfield神经网络(a)Sigmoid非线性;(b)神经元模型可由下述微分方程式描述: 、，产 门J/r、l、1.。瓮一客、一佘Ii认=f(u￡)￡=l，2，…，n式中f(·)为连续可微的Sign101d函数;T，j=兀、i，j=1，2，“’，n几=0]=i1~.吞~·‘八文一Q*+，戮T，j‘一‘，2，”一”连续时间氏pfield神经网络式的计算能量函数定义为:一告客客几从砚石l「Vi_1，、，合，，，+乞古!‘厂‘(x)dx一乙I，从(4)’月R‘Jo“‘、一’一月一，” 对于式(3)，若f一‘为单调增且连续，C>0，T，j=几(i，j=1，2，一，n)，则沿系统的运动轨道有dE一。-丁丁足之Uat当且仅当贷一。时 箭一。式(3)的稳定平衡点就是能量函数E〔式(4)」的极小点，反之亦然。同时，连续氏pfield神经网络式(3)以大规模非线性连续时间并行方式处理信息。网络的稳定平衡点对应于其计算能量函数E的极小点，网络的计算时间就是它到达稳定的时间，网络的计算在系统趋于稳态的过程中也就完成了。这也是式(3)用于神经计算及联想记忆的基本原理，也即神经计算机的基本原理。HoPfield shenling wangluo moxingHopfield神经网络模型(Hopfieldne，Ine幻即0比m侧触l)一种单层全反馈的人工神经网络模型(后称之为氏p玉idd模型)，它对推动人工神经网络研究的复苏起了很重要的作用。且，lield对人工神经网络研究的贡献主要有:(l)把有反馈的神经网络看作一个非线性动力系统，提出了系统的全局Lyap阴lov函数(或称能量函数)的概念，用于系统稳定性的分析;(2)利用上述分析方法解决人工智能中的组合优化问题，如15护;(3)给出了利用模拟电子线路实现的连续Hopfidd网络的电路模型，为进一步研究神经计算机创造了条件。
