A Recursive Orthogonal Least Squares Algorithm for Training RBF Networks

A recursive orthogonal least squares (ROLS) algorithm for multi-input, multi-output systems is developed in this paper and is applied to updating the weighting matrix of a radial basis function network. An illustrative example is given, to demonstrate the effectiveness of the algorithm for eliminating the effects of ill-conditioning in the training data, in an application of neural modelling of a multi-variable chemical process. Comparisons with results from using standard least squares algorithms, in batch and recursive form, show that the ROLS algorithm can significantly improve the neural modelling accuracy. The ROLS algorithm can also be applied to a large data set with much lower requirements on computer memory than the batch OLS algorithm.     

基于支持向量机与神经网络的间谐波测量混合算法

针对目前缺乏国家标准规范间谐波对电能质量的影响,也缺乏有效的手段监测间谐波的问题,用支持向量机理论对其进行了探索。支持向量机理论将间谐波这个非线性问题变换到更高维的空间中进行线性回归,它基于迭代权调整最小二乘法,引入反向传播神经网络算法整定算法参数,通过反馈现场采集、分析信号,并将教师信号与计算信号的差值作为调整参数的驱动信号,在此基础上通过反向遗传算法(BPNN)的反向传播能力对参数进行基于负反馈的调整,提高了算法的收敛速度。通过数值实验对比,该算法比没有使用差动信号的混合算法效率提高约13%。     

A TVD SCHEME FOR INCOMPRESSIBLE FLOW COUPLED WITH DIFFERENT TURBULENCE MODLES ON A GROUND- MOUNTED SQUARE-RIB FLOW

A finite-difference Total Variation Diminishing (TVD) numerical simulation model for coupling the Reynolds Averaged Navier-Stokes (RANS) equations, pressure-relative continuity equation and various k-εturbulence models was developed to solve the incompressible flow based on the pseudo-compressibility method. The hyperbolicity of all these equations was studied and the discretization of the fully coupling equations with all the primal variables and source terms were made in this article. Numerical simulation for modeling the flow around a ground-mounted square rib was implemented and validated by comparing with the published wind tunnel experimental data. It is shown that such a numerical simulation method with a proper turbulence model has a very good accuracy to simulate the flow around a surface-mounted rib. It is concluded that the Renormalization Group (RNG) and Chen-Kim k-εturbulence models have much better ability to predict the characteristics of the vortex structure and flow separation than the standard k-εmodel.     

基于多元非线性回归算法的动车组变压器温度预测研究

对动车组状态参数进行预测是实现动车组数字化精准维修的重要前提之一.目前对动车组数据的利用方式主要以定量观测和定性分析为主,缺乏准确的状态预测量.为此,文章提出了一种基于多元非线性回归的预测算法,通过建立变压器温度预测模型,实现了变压器温度值的次日预测,并以此指导由温度导向的变压器日常运维项目.通过对比CRH5A型动车组...     

A typology of different development and testing options for symbolic regression modelling of measured and calculated datasets

Data-driven modelling is used to develop two alternative types of predictive environmental model: a simulator, a model of a real-world process developed from either a conceptual understanding of physical relations and/or using measured records, and an emulator, an imitator of some other model developed on predicted outputs calculated by that source model. A simple four-way typology called Emulation Simulation Typology (EST) is proposed that distinguishes between (i) model type and (ii) different uses of model development period and model test period datasets. To address the question of to what extent simulator and emulator solutions might be considered interchangeable i.e. provide similar levels of output accuracy when tested on data different from that used in their development, a pair of counterpart pan evaporation models was created using symbolic regression. Each model type delivered similar levels of predictive skill to that other of published solutions. Input–output sensitivity analysis of the two different model types likewise confirmed two very similar underlying response functions. This study demonstrates that the type and quality of data on which a model is tested, has a greater influence on model accuracy assessment, than the type and quality of data on which a model is developed, providing that the development record is sufficiently representative of the conceptual underpinnings of the system being examined. Thus, previously reported substantial disparities occurring in goodness-of-fit statistics for pan evaporation models are most likely explained by the use of either measured or calculated data to test particular models, where lower scores do not necessarily represent major deficiencies in the solution itself.     

Using correlation coefficients for locating partial discharge in power transformer

Most serious failure of power transformers is due to the insulation breakdown. Partial discharge (PD) that damages insulation by gradual erosion is major source of insulation failure. The effective ability of the wavelet packets analysis as a tool for disk-to-disk partial discharge faults detection and localization in transformer windings is shown in this paper. Techniques for locating a PD source are of the major importance in both the maintenance and repair of a transformer. One of the most well-known methods of PD localization in transformers is based on winding modeling and current of neutral point analysis. Since the impedance between PD location and neutral point of winding depends on the PD location in respect to neutral point, the frequency spectrum of neutral point current varies when the PD location changes. In the other word, the current components of neutral points vary according to the place where PD occurs. So in this paper, detailed model of transformer winding is modeled and the neutral point current is studied for locating PD. The used method is validated by the simulated model of transformer windings. This model produces a very acceptable current when compared to the experimental data. In this paper for locating partial discharge (PD) in transformer windings, a simulated model is developed for the transformer winding and the PD phenomenon mechanism. The impulse current test and wavelet packets transformation are used to locate PD. It is shown that the neutral current measurement of the transformer winding has useful information about PD location.     

城镇居民人均全年可支配收入与主要经济指标分析

为了验证城镇居民人均全年可支配收入与地区主要经济指标是否存在正想关系,以宏统计数据库为数据源,采用2004年的统计数据,利用SAS统计软件运用回归分析等统计方法对全国31个城市的10项经济指标进行分析。研究结果表明:城镇居民人均全年可支配收入与工业、服务业、地方财政、卫生事业有线性关系,与人口、农业、固定资产投资、教育文化关系不大。     

线性映射函数对无损颅内压估计的影响

提出了一种基于截断奇异值分解的线性映射函数颅内压无损估计方法。在基于时间序列的数据挖掘框架基础上,分别推导了基于总体最小二乘法的线性映射函数和基于截断奇异值分解法的线性映射函数,通过实验仿真比较证明:不同的线性映射函数对颅内压的预测确实有较为明显的影响,在所采用的方法中,基于截断奇异值分解法的线性映射函数效果明显优于基于总体最小二乘法的线性映射函数。因此,在该数据挖掘框架中,选择合适的线性映射函数对无损颅内压预测精确性的提高有着非常重要的意义。     

曲线拟合法的Matlab实现

介绍最小二秉曲线拟合法的基本原理，对最小二秉曲线拟合法的Matlab实现方法进行研究，其实现方法非常方便、简单；井给出曲线拟合Matlab实现的源程序。给出一个仿真测试实例，仿真结果表明该方法是可行的、有效的。     

信道估计在OFDM中的应用

介绍了信道估计在OFDM中的应用,提出一种易于实现的MMSE算法,并对MMSE和LS的性能进行了比较,同时研究了它们的改进算法。结果表明改进算法有很好的性能,可以逼近理想估计。在系统的实现中有较好的参考价值。