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- Orthogonal functional networks 正交泛函网络
- Reversi achieve functional network war. 一个CSharp的网络连接的实例.;实现黑白棋的网络对战功能
- Chen S., Cowan C. F. N. and Grant P. M., 1991, Orthogonal Least Squares Learning Algorithm for Radial Basis Function Networks, IEEE Transactions on Neural Networks, 2(2): 302-309. 陈莉,1995,以物件导向之遗传演算法优选水库运用归线之研究,国立台湾大学生物环境系统工程学系博士论文。
- The neurons form connections and self-assemble into functional networks, allowing us access to the same phenomena of plasticity that occur in vivo. 这些神经元在培养皿中形成连结并自我聚集成功能性网络,让我们能观察到与活体中相同的可塑性形成现象。
- A new method is proposed for training radial basis function networks (RBFN) using the unscented Kalman filter (UKF). 摘要提出了应用无先导卡尔曼滤波器(UKF)来训练径向基神经网络(RBFN)的新方法。
- Using the empirical orthogonal function(EOF)and the optimum subset regression(OSR),the statistical forecast model of dryness and wetness was established. The model includs both the principal feature of predictant and the optimum grouping of predictor. 利用自然正交函数(EOF)和最优子集回归(OSR)两种统计方法建立了统计预报模型,既抓住了预报对象的主要特征,又考虑了预报成因的最优组合。
- Based on the empirical orthogonal function(EOF) and singular value decomposition(SVD) method the spatial distribution and time variation of soil temperatures in the plateau are analysed. 运用EOF方法分析了各层地温的时空特征,并对不同时段的地温场和降水场进行SVD分解,并讨论了前期地温变化,尤其是10cm地温变化与我区降水之间的关系。
- Abstract A new method is proposed for training radial basis function networks (RBFN) using the unscented Kalman filter (UKF). 摘要 提出了应用无先导卡尔曼滤波器(UKF)来训练径向基神经网络(RBFN)的新方法。
- By using the monthly temperature in 160 stations of China and the NCEP/NCAR reanalysis data,the winter(November to March) temperature variations from 1951 to 2000 are studied with the empirical orthogonal function(EOF) analysis. 利用我国160个台站50年(1951~2000年)的月平均温度资料和NCEP/NCAR再分析资料,对我国从1951/1952~1999/2000共49个冬季(11月至次年3月平均)的气温进行经验正交函数(EOF)分解。
- The brain may reorganize functional networks to adapt to lesions and recoer function.But with each subsequent stroke, the capacity to do so is diminished. 大脑能够重组功能网络以适应损伤并恢复功能,但若不断的发生卒中,这一功能将会消失。
- Orthogonal function spectrophotomery was used for obliterating the interferance of absorption RESULTS: Azone (1 %) had a significantly effect on percutaneous absorp-tion of bifonazole. 结果:1%25氮酮明显促进联苯苄唑经皮渗透作用,并可明显缩短时滞而增加贮库效应。
- The article analyzed the weekly time series data of horizontal displacement at fiducial stations of China's continent by using the empirical orthogonal function (EOF) in Meteorology. 摘要利用大气科学常用的经验正文函数(EOF)分解方法,对中国大陆连续观测的基准站的水准位移每周解时间序列进行分析。
- METHODS: The Initial Average Rate Method was used to determine the stability of baicalin in the Ziqinqingre liquid,the content of baicalin was determined by orthogonal function spectrophotometry. 方法:采用初均速法对栀芩清热液中主要成分黄芩苷的稳定性进行研究,以正交函数光谱法测定了黄芩苷的含量。
- A prediction model of methanol content at the exit of methanol synthesis reactor was proposed through radial basis function networks and partial least square regression approach. 运用径向基函数网络结合偏最小二乘回归的方法建立了甲醇合成反应器出口甲醇含量的预测模型。
- The prediction of hydrochemical types of salt lakes by probability artificial neural network model, which is one of the typical Radial basis function networks was studied. 研究了作为典型径向基函数网络之一的概率神经网络在盐湖水化学类型分类预测中的应用,验证了该方法的可靠性,得到了满意的分类预测结果。
- The radial basis function networks (RBFN) was combined with the cyclic subspace regression (CSR) in this paper, and a modeling approach by RBFN-CSR was designed. 本文将径向基函数网络(RBFN)与循环子空间回归(CSR)相结合,设计了RBFN-CSR建模方法。
- Upon using linear regression model,a new pH value model in Nanning was developed by means of empirical orthogonal functions(EOF) as predictors of previous meteorological,polluted and diffused data,and selecting the high relative principal components. 对南宁市降水pH值的前期气象场、污染特征和扩散条件等相关初选预报因子进行EOF展开,并取其中与预报量相关显著、且方差贡献大的主成分,结合逐步回归技术,建立了一种新的降水pH值预报模型。
- A new method for inverting sound velocity profile field with empirical orthogonal functions is given.It is shown from the results that SVP computed by the method has high precision. 摘要提出了根据实测声速剖面,利用经验正交函数建立了声速剖面场的数学模型,得到了任意点位的声速剖面对边缘波束数据进行声线折射改正的方法。
- By constructing appropriate network architecture and neural functions, functional networks can be used to identify Internet end-to-end nonlinear delay time series. 通过构造合适的网络结构及泛函神经元函数,利用泛函网络进行系统辨识,准确描述了端到端时延的非线性特征,同时对泛函神经元函数的参数进行自适应修正,适应了时延的非平稳性。
- complete system of orthogonal function 完备正交函数系