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- By applying generalized SVM and least square SVM of classification to regression estimation problem, fuzzy generalized weighted SVM and fuzzy multiplayer least square generalized SVM are proposed. 把针对分类问题的广义SVM及最小二乘广义SVM用来处理回归估计问题，并和模糊SVM结合起来形成了基于模糊加权的广义SVM和基于模糊的多层最小二乘广义SVM。
- regression estimation problem 回归估计问题
- In this class we describe Support Vector Machines for regression estimation and illustrate the connection between SVMs and Basis Pursuit De-Noising. 课中将叙述支持向量机的回归估算法并举例说明支持向量机和基础追踪去杂讯法之间的关系。
- We have used the ridge regression estimation (RRE) to treat the multicomponent drug systems.Because of the method was based on ... 本文用岭回归法处理复方维生素B四组分体系的光谱数据,所得分析结果明显优于最小二乘法。
- Baum-Welch algorithm is often made to optimize parameter in parameter estimation problem. 在参数估计问题中常常要用Baum-Welch重估计算法来优化参数。
- The problem of tracking an on-road target anti a constrained nonlinear estimation problem are consistent essentially. 公路网中的目标跟踪问题实质上是一个向量空间受约束的非线性估计问题。
- An algorithm based on square root unscented Kalman filter (SRUKF) was presented to solve the aeroengine health parameter estimation problem. 摘要设计了适用于双轴涡扇发动机健康参数估计的平方根UKF滤波算法，解决了线性片尔曼滤波器估计结果准确性依赖于线性模型精度；
- This method takes full advantage of GA's inherent parallelism and solves the estimation problem of the equivalent scattering center. 该方法充分利用遗传算法的内在并行性，解决了二维等效散射中心的估计问题。
- Through decorrelating processing we can employ one-dimensional ESPRIT algorithm twice to solve the corresponding two-dimensional azimuth and elevation angle estimation problem. 通过解相关处理，可通过两次运用一维ESPRIT算法解决相应的二维方位／高低波达方向的估计问题。
- This dissertation focuses on the time delay estimation problem which has various and important applications in the fields of radar, sonar, communications and so on. 本文研究了在雷达、声纳、通信等领域中有着广泛及重要应用的时间延迟估计问题。
- The optimal solu tion of real control can be obtained by means of iteratively solving the op timiz ation problem based on bilinear model and parameter estimation problem. 在模型与实际存在差异的情况下，通过求解修正的基于双线性模型的优化问题和参数估计问题，给出了实际问题的最优解。
- The joint estimation problem of range, DOA and frequency of near-field narrowband sources is studied, and a new computationally efficient algorithm is proposed. 摘要本文研究近场源距离、频率和到达角(DOA)三维参数的联合估计问题，并提出一种计算有效的新算法。
- Multiple linear stepwise regression estimation and exponential smoothing estimation of time serial are used to obtain the estimating models of the 12 omening indices. 用多元线性回归预测和时间序列指数平滑方法预测，建立了12项单指标的预测模型。
- Regression estimates: including intercept and coefficients for linear, quadratic and correlation coefficient. 2?归参数：含截距、一次、二次?归参数与相关系数。
- In this paper,we give a new regression estimator under the cluster correlation model. 本文在群体相关模型下给出了一种新的回归估计。
- A new method based upon Refined Genetic Algorithm (RGA), which global optimum is easily converged with, for the fault section estimation problem is presented. There are some new operators in RGA and basic operations of RGA are different from those of SGA. 本文研究了RGA在电力系统故障诊断中的应用,这种方法可以有效地求得全局最优解,与SGA相比RGA的遗传算子中包括了一些新的算子,基本算子的实现方式也不一样。
- In the present investigation, new calibration approach combined regression estimator is proposed, and asymptotical variance estimator of the proposed estimator is given. 本文提出了分层抽样中的校正组合比率估计量，并推广到分层双重抽样中。
- In OFDMA system, each user has its own time offset and CFO (carrier-frequency offset), so the synchronization has became a multiple-parameter estimation problem, and the compensation of time offset and CFO has also became more difficult. 因为在OFDMA系统当中，叠加在一起的不同用户的信号具有不同的符号定时偏移和载波频率偏移，这样同步估计问题就由原来的单参数估计演变为多参数估计，同时同步估计结果的补偿也变的更加困难。
- The contents from the third chapter to the fifth chapter are the kernels which are a series of applications of generalized regression model and generalized regression estimator. 第三章至第五章就是广义回归模型及广义回归估计方法的一系列具体应用，因而也就成为本论文的核心部分。
- The estimation problem of matrix bounds for the continuous algebraic Lyapunov equation (CALE) and the discrete algebraic Lyapunov equation (DALE) could be considered by unified approach using delta operator. 基于Delta算子描述;统一研究了连续代数Lyapunov方程(CALE)和离散代数Lyapunov方程(DALE)的定界估计问题.
