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单纯形法是一种不错的随机搜索算法，但是其受初始值的选取，步长大小的影响较大，容易陷入局部收敛。程序中列出了基本单纯形法，和几种改进的单纯形法，包括变步长的单纯形法，单纯形加遗传算法等。-simplex method is a good random search algorithm, but its initial value by the selection, step in a larger size, easy to be trapped into local convergence. P
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动态SQL的第4种方法通过SQLDA（The SQL Descr iptor Area）和oracle内部交换数据，可以执行直到程序运行时还不知道选择表项或虚拟输入宿主变量的个数和类型的SQL语句。-the first four methods through SQLDA (The SQL Descr iptor A rea) and the exchange of data within the oracle, can be implemented until the procedures d
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是关于变结构控制的一个简单实例，其中包括控制函数的选取-on variable structure control a simple examples, including the selection control function
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Recursive weighted Partial least Squares for variable selection
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this a variable selection method which used in different chemometric method
-this is a variable selection method which used in different chemometric method
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THIS A VARIABLE SELECTION METHOD WITH APPLIED IN PARTIAL LEAST SQUARE REGRRESSION-THIS IS A VARIABLE SELECTION METHOD WITH APPLIED IN PARTIAL LEAST SQUARE REGRRESSION
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变量选择是图像处理以及红外处理的一种重要的信息提取方法，本文针对变异系数来选择波长来达到信息提取的目的-Variable selection is an important image processing and infrared treatment method of information extraction based on coefficient of variation to choose wavelength to achieve the goal of information
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神经网络变量筛选—基于MIV的神经网络变量筛选-Neural network variable selection- based on neural network variables MAC filtering
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遗传算法与偏最小二乘结合，应用于化学光谱的变量选择问题，希望对同学们有用。-Combination of genetic algorithm and partial least squares, used in chemical spectroscopy variable selection problem, I hope useful to the students.
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竞争重加权算法，解决光谱数据的变量选择问题，属于化学计量学中的偏最小二乘应用。-Competition Reweighted algorithm to solve the problem of spectral data of variable selection, belongs to the stoichiometry of the partial least squares applications.
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交互式界面实现区间偏最小二乘（iPLS），化学计量学中解决变量选择问题的好工具。-Interactive interface to achieve Interval Partial Least Squares (iPLS), a good tool for variable selection problem solving in chemometrics
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神经网络变量筛选—基于BP的神经网络变量筛选-Neural network variable selection- BP neural network variables based screening
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针对数据挖掘中的lasso算法，可用于选择变量-Data driven algorithm for lasso based regression modelling which can be used for variable selection
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cholesky分解是用于将一个对称正定的矩阵分解为一个上三角与一个下三角矩阵乘积的形式，可运用于回归系数求解，线性方程组求解中
逐步回归是在回归分析的建模过程中用于变量筛选的有效方法，这里同时进行了向前和向后回归，效果更加显著(Cholesky decomposition is used to decompose a symmetric positive definite matrix into an upper triangle and a lower triangular matrix
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连续投影算法是一种简单，快速选取特征变量选择方法，可用于光谱分析等。(Continuous projection algorithm is a simple, fast selection of feature variable selection method, can be used for spectral analysis.)
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包括LARS的经典文章和实现代码（MATLAB）(Abstract There are a number of interesting variable selection methods available beside the regular forward selection and stepwise selection methods. Such approaches include lasso (Least Absolute Shrinkage and Selection Operat
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连 续 投 影 算 法(SPA)是 一 种 使 矢 量 空 间 共 线 性最小化的前向变量选择算法， 它的优势在于提取全波段的几个特征波长， 能够消除原始光谱矩阵中冗余的信息，可用于光谱特征波长的筛选(Continuous projection to calculate method (SPA) is a kind of minimizing vector spatial collinear prior to variable selection algorithm, and it has th
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bayesian variable selection
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BP人工神经网络以及基于BP人工神经网络的MIV变量筛选，用于建立预测模型以及关键工艺参数筛选(BP artificial neural network and MIV variable selection based on BP artificial neural network are used to build prediction models and key process parameters.)
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siPLS和biPLS是两种用于近红外光谱特征波段筛选的变量选择方法，可筛选出与兴关注指标密切相关的特征波段，并去除无关和干扰变量，提高模型稳健性(Bipls and sipls are two variable selection methods for screening the characteristic intervals of near-infrared spectra, which are closely related to performance indicators, to
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