Description: 离散二进制粒子群优化算法，非常热门的新算法，给出几个函数实例，供大家参考-discrete binary PSO algorithm, a very popular new algorithm, gave a few examples of function, for your reference Platform: |
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Description: GA（Simple Genetic Algorithm）是一种强大的智能多变量优化算法，它模仿种群繁殖规律来进行优化。
本SGA可以优化变量，求最小值,最大值（当把函数倒数也就求最小值啦）
并且支持浮点编码，grey编码，二进制编码；轮赌法选择，锦标赛选择；单点交叉，均布交叉，浮点交叉；单点变异，浮点变异；-GA (Simple Genetic Algorithm) is a powerful, intelligent multi-variable optimization algorithms, which mimic the breeding populations of the law to be optimized. SGA can optimize this variable, and the minimum value, maximum value (when the function of the countdown you will seek the minimum value) and to support the floating-point encoding, grey code, binary code round of gambling options, tournament selection single-point crossover, uniform Cross, floating-point crossover single point mutation, floating-point variation Platform: |
Size: 9216 |
Author:yuandi |
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Description: 修正过的pso 算法 属于离散型的pso程序，可用于变量筛选，效果不错！-Modified discrete PSO algorithm belonging to the PSO procedure, can be used for variable selection, good results! Platform: |
Size: 1024 |
Author:曹洪印 |
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Description: 陀螺漂移模型变量的选择在建模中具有重要作用。本文讨论了变量选择的多种方法,提出一种改进的子集比较法,并结合陀螺测漂实例对实现模型变量的最优选择进行了研究
-Gyro drift model for the choice of variables in the modeling plays an important role. This article discusses a variety of variable selection method, a modified subset of comparative law, combined with gyro drift measurement examples for achieving the optimal choice of model variables were studied Platform: |
Size: 29696 |
Author:我爱 |
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Description: Bayes model averaging with selection of regressors - This program can be utilized for Bayesian Variable Selection using Gibbs Sampler-Bayes model averaging with selection of regressors- This program can be utilized for Bayesian Variable Selection using Gibbs Sampler Platform: |
Size: 9216 |
Author:Ruo Wang |
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Description: ANFIS网络编程环境下的变量选择程序，通过确定非相关性分析挑选适合确定输出的输入变量-ANFIS network programming environment variable selection procedures, by determining the selection of non-correlation analysis to determine the output of the input variables for Platform: |
Size: 2048 |
Author:zhanghao |
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Description: Lasso变量选择方法创始人的经典代码，内含多个源代码，每个可单独运行-Lasso variable selection method, founder of the classical code, containing more than one source code can be run separately for each Platform: |
Size: 55296 |
Author:jieyi jiang |
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Description: 结合BP神经网络应用平均影响值（MIV，Mean Impact Value）方法来说明如何使用神经网络来筛选变量，找到对结果有较大影响的输入项，继而实现使用神经网络进行变量筛选。-BP neural network application with the average impact value (MIV, Mean Impact Value) method to illustrate how to use the neural network to filter the variables have a greater impact on the results found in the input items, and then realized using the neural network variable selection. Platform: |
Size: 2048 |
Author:si |
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Description: In this paper, we study Spatial Tomlinson-Harashima
Precoding (STHP). We propose a generalization of the
original structure of STHP which enables different transmission
power per antenna. The main advantage of the new scheme is
that it has a scalable structure because, despite of the variable
power per transmitter (even if some transmitters are switched
off), the precoding structure and its properties are preserved.
Next, we formulate the maximum achievable rates problem for
GSTHP and solve it numerically. In addition, we show that the
problem can be quasi-optimally solved in a closed form in a
limit case, or if some approximations are done. The solution is
found to be an antenna-selection algorithm with uniform power
allocation among the active transmitters. We finally present some
simulation results and conclusions. Platform: |
Size: 447488 |
Author:ashish |
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Description: Local Linear ApproximationLo cal Linear Approximation-Local Linear ApproximationLocal Linear ApproximationLocal Linear Approximation Platform: |
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Author:qht |
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Description: eature selection, also known as variable selection, attribute selection or variable subset selection, is the process of selecting a subset of relevant features for use in model construction Platform: |
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Author:kumar |
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Search - variable selection