搜索资源列表
PSOGA
- 带交叉因子的粒子群遗传算法，寻找最优位置-Particle Swarm with cross-factor genetic algorithm to find the optimal position
particle-swarm-algorithm---matlab
- PSO 算法属于进化算法的一种，和遗传算法相似，它也是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优-PSO algorithm is an evolutionary algorithm, and genetic algorithm is similar, it is starting from a random solu
Adaptive-Embedding-Dimension
- 嵌入维数自适应最小二乘支持向量机 状态时间序列预测方法 Condition Time Series Prediction Using Least Squares Support Vector Machine with Adaptive Embedding Dimension 针对航空发动机状态时间序列预测中嵌入维数难于有效选取的问题, 提出一种基于嵌入维数自适应 最小二乘支持向量机( L SSVM ) 的预测方法。该方法将嵌入维数作为影响状态时间序列预测精度的重要参
BPcrossvalind
- MATLAB的BP交叉验证的程序，自己编写的，可直接运行，供大家参考。-MATLAB-BP cross-validation procedure, I have written can be directly run, for your reference.
genetic-algorithm
- 自然计算中遗传算法的各个程序，matlab环境下开发的源代码。best.m 求种群中适应度最大的值 calfitvalue.m 计算每个个体的适应度 calobjvalue.m 适应度函数 crossover.m 交叉变换 decodebinary.m 将二进制数转换成十进制数 decodechrom.m 将二进制数转换成十进制数 initpop.m 产生初始种群 mutation.m 变异 selection.m 选择合适的个体进行复制 main.m 主函数
25-Bar
- 程序为用matlab编写的改进粒子群算法求解25杆件截面优化程序，程序的通用性很强！-Procedures using matlab improved particle swarm optimization for 25 cross-section optimization program, the program' s very versatile!
NSGA
- 快速遗传算法中工具箱，包含有选择算法，交叉算法-genetic algorithm toolbox，Contains a selection algorithm, cross algorithm
Adaptive-Online-Learning
- 基于EKF的神经网络自适应在线学习算法，包含例子和文档。-We show that a hierarchical Bayesian modeling approach allows us to perform regularization in sequential learning. We identify three inference levels within this hierarchy: model selection, parameter estimation, and
Model-for-waves-guided
- The Semi-Analytical Finite Element SAFE method is becoming established as a convenient method to calculate the properties of waves which may propagate in a waveguide which has arbitrary cross-sectional shape but which is invariant in the propagatio
chapter8
- chapter8_1.m为使用交叉验证的GRNN神经网络预测程序 chapter8_2.m为BP和GRNN效果比较程序-chapter8_1.m for the GRNN neural network prediction program using cross-validation chapter8_2.m for BP and GRNN effect of the program
Dynamic-Search-Algorithm
- 提出一种基于改进粒子群动态搜索算法的网络重构方法，算法把初始粒子群按照适应度的大小分为两个互不交叉，且具有不同分工的子群，并进行动态搜索。通过引入了交叉和禁忌思想，减少了解陷入局部最优的可能性．与遗传、禁忌搜索算法重构的结果进行比较，表明本文算法具有更高的搜索效率，更容易找到全局最优解．-：An improved method based on improved particle swarm optimization dynamic search algodthm networkrcconfig
develop_GA
- 针对SGA的早熟，收敛慢，收敛于次优点的缺陷，做三大改进：自适应交叉变异，模拟退火，交叉方式改进，速度提升65 -For the SGA premature, slow convergence, convergence on the merits of defects, do the three major improvements: Adaptive crossover and mutation, simulated annealing, the cross-ways to improve 6
ga
- 遗传算法的一个算例，包括变异、交叉等操作-An example of the genetic algorithm, including the operation of the variation, cross
Cross_xu
- 遗传算法中交叉选择算法，对于遗传算法有一定的改进作用，这个只是一个函数，调用的话需要自己编写测试函数。-Cross-selection algorithm genetic algorithm, genetic algorithm improvements, this is just a function call then need to write your own test function.
Biofilter
- Biofilter is a software tool that provides a convenient single interface for accessing multiple publicly available human genetic data sources. These sources include information about the genomic locations of SNPs and genes, as well as relations
randmaker
- 该程序用于十折交叉验证，对原数据集进行随机划分。-The procedure used for the ten-fold cross-validation randomly divided the original data set.
Savage-across-the-river
- 实现野人过河问题，找出过河的方法。我自己写的，有注释，且可以正确运行。-To achieve the the Savage river issues, ways to cross the river. I wrote it myself, annotations, and can be run properly.
fastsvm1
- 机器学习大牛Dale Schuurmans写的多类SVMs的快速实现算法，可以自己修改核函数，通过K-fold cross validation训练得到最优参数，分类效果很好-Machine learning large cattle Dale Schuurmans write multi-class SVMs fast algorithm, can modify the kernel function, the optimal parameters through K-fold cross v
mat
- 对iris数据集分类 采用bp网络 利用交叉验证优化参数-Classification of the iris data set bp network use of cross-validation optimization parameters
Matlab-algorithm-important
- 本压缩包包括matlab的顶点覆盖近似算法、哈密尔顿回路、模拟退火应用、最大流和最小截、最短路和次短路、最短路径、最小生成树prim算法等，带有源程序和中文说明文档，此文件夹中的文件，如需被利用，则要直接放至work目录下。-The compressed packet including matlab vertex cover approximation algorithm, Hamilton circuit, simulated annealing, maximum flow and mini