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一个主要用于预测和分类的源程序
- 开发环境:Matlab 简要说明:程序包含的设置包括：列数、样本总个数、建模样本数、预报因子数、预报对象数、学习因子、 动量因子、训练次数、总体误差、隐节点数。-development environment : Matlab brief descr iption : program includes the installation including : number, the total sample number, the number of samples modeling
bp2
- 基于梯度下降的BP算法,可以调整学习率可动量因子.-based on the gradient descent algorithm BP, the learning rate can be adjusted momentum factor.
IntroMatlab_codepls
- PCA and PLS aims:to get some insight into the bilinear factor models Principal Component Analysis (PCA) and Partial Least Squares (PLS) regression, focusing on the mathematics and numerical aspects rather than how s and why s of data analysis
wxy353
- 程序包含的设置包括：列数、样本总个数、建模样本数、预报因子数、预报对象数、学习因子、 动量因子、训练次数、总体误差、隐节点数。-procedures contained in the set include : number, the total sample number, the number of samples modeling, forecasting several factors, forecasting several targets, learning factor, mome
OMP算法：匹配追踪算法
- OMP算法：匹配追踪算法，输入字典和图像，获得图像在字典下的稀疏系数。有部分解释-OMP algorithm: matching pursuit algorithm, the input dictionary and images, access images in the dictionary under the sparse factor. Some explanation
cross-pso.rar
- 带交叉因子的粒子群优化算法，有关粒子群算法的改进并举例说明,Cross-factor with particle swarm optimization algorithm, the particle swarm algorithm and illustrates
for-gsk
- 蚁群算法的优化，最小最大蚁群算法，加上方向因子-Ant colony optimization, ant colony algorithm for the minimum maximum, plus orientation factor
FORGETMETHODFORIDENTTIFICATION
- 遗忘因子法递推算法用于估计数学模型的参数,精确度较高!-Forgetting factor recursive algorithm method used to estimate the parameters of the mathematical model, high accuracy!
bb_hnfa
- Extension packages to Bayes Blocks library, reported in "Nonlinear independent factor analysis by hierarchical models" (Valpola, Ö stman and Karhunen, 2003). -Extension packages to Bayes Blocks library, reported in
pso3
- 带交叉因子的改进粒子群优化算法，算法用于示解多维无约束优化问题，收敛性强。-With cross-factor improvement of particle swarm optimization algorithm for multi-dimensional solution that unconstrained optimization problem, convergence is strong.
DPSO
- 综合的微粒群智能分类算法，考虑了不同的学习因子，可根据不同的数据特点进行选择。-Particle Swarm integrated intelligent classification algorithms, taking into account different learning factor, according to the characteristics of different data selection.
buck_boost
- 基于平均法的buck_boost型DC/DC建模步骤，包括电压模和峰值电流模。增加了误差放大器放大倍数的确定，电源调整率，负载调整率和三种变换器的一阶等效模型-Based on the average law buck_boost type DC/DC modeling steps, including the voltage mode and peak current mode. An increase of the error amplifier to determine the magni
PSOGA
- 带交叉因子的改进PSO算功能：求解多维无约束优化问题收敛性强，还可以加入变异算子-With cross-factor improvement of PSO operator functions: Solving multi-dimensional unconstrained optimization problem of strong convergence can also add mutation operator
gyy
- 从因子分析的角度出发解决基因表达谱分析问题。为解决独立成分分析方法在求解过程中的不稳定性，提出一种基于选择性独立成分分析的DNA微阵列数据集成分类器。首先对基因表达水平的重构误差进行分析，选择部分重构误差较小的独立成分进行样本重构，然后基于重构后的样本同时训练多个支持向量机基分类器，最后选择部分分类正确率较高的基分类器进行最大投票以得到最终结果。在3个常用测试集上验证了本文设计方法的有效性。-This paper tries to deal with gene expression proble
chap5_4
- 实数编码的遗传算法pid整定，实现系数自整定-Real-coded genetic algorithm pid tuning to achieve self-tuning factor
ACOforTSP
- tsp问题的群蚁算法实现，其中c为测试矩阵，代表各点的相对坐标，NC_max 最大迭代次数 ，m蚂蚁个数，Alpha 表征信息素重要程度的参数，Beta 表征启发式因子重要程度的参数，Rho 信息素蒸发系数，Q 信息素增加强度系数，R_best 各代最佳路线，L_best 各代最佳路线的长度，运行后得到最佳路线和收敛曲线-ant problem tsp algorithm group, of which c for the test matrix, the representative of
FractionalWinnerTakeAll
- 基于分数阶的一类神经元混沌系统广义投影同步，改变比例因子，实现同步-Based on a class of fractional neurons Generalized Projective Synchronization of chaotic systems, changes in scale factor to achieve synchronization
unity_finite_element_method_to_solve_the_stress_in
- 单位分解有限元方法求解应力强度因子，是扩展有限元的重要基础理论-Unity finite element method to solve the stress intensity factor, is an important basis for expansion of the finite element theory
compression-factor-pos
- 改程序是带压缩因子的粒子群算法，修改参数就可用。-Reform program with a compression factor of the particle swarm algorithm parameters can be used to modify.
With-cross-factor-pso
- 带交叉因子的粒子群优化算法matlab源程序.doc-With cross-factor particle swarm optimization algorithm matlab source code. Doc