资源列表
source
- home+work其实是01背包问题，二维一维都可以-home+work actually 01 knapsack problem, can be a two-dimensional one-dimensional
foa
- 果蝇优化算法matlab程序，适应度函数请下载AdaptFunc.m。应用环境LSSVMlabv1_8_R2009b_R2011a。-Fruit flies matlab optimization algorithm. fitness function, please download AdaptFunc. M.
NARX
- 利用非线性神经网络做时间序列预测，主要是做动态预测。-Time series prediction using nonlinear neural network, mainly to do dynamic prediction.
quantum
- 遗传算法的量子版本，是我自己改进的，有一定的价值-Quantum Genetic Algorithm version, is my own improvement, there is some value
BP
- bp神经网络，其主要功能是用于风功率或风速时间序列预测- The bp neural network, its main function is used for wind power or wind speed forecasting
LM
- 利用LM算法优化BP神经网络的matlab源程序。-LM algorithm to optimize the use of BP neural network matlab source.
GSO2
- 使用改进群搜索算法对种群进行优化，运用在电力系统中效果显著。-Using improved search algorithm to optimize a population group, used in power system.
Qpsotest
- 使用量子粒子群算法进行无功优化，比粒子群算法更加优越。-Using quantum particle swarm optimization algorithm for reactive power optimization, more superior than particle swarm algorithm.
25
- 基于MIV的神经网络变量筛选 基于BP神经网络的变量筛选-Neural network variables MIV screening BP neural network based on variable filter
BP_for_4
- 使用神经网络实现对函数sin(x1)/x1*sin(x2)/x2的模拟，代码为matlab代码，输入为二维数组，输出为一个数，结果误差为0.225左右,-Using neural networks to function sin (x1) Analog/x1* sin (x2)/x2, the code for matlab code, enter a two-dimensional array, the output is a number, the result error is about
treePlotter
- 用python语言写的一个分类算法，用于树绘图，机器学习算法-Python language written with a classification algorithm for tree drawing, machine learning algorithms
svdRec
- 机器学习算法，利用SVD简化数据，SVD矩阵分解，推荐引擎，提高性能-Machine learning algorithm, using SVD simplify data, SVD matrix decomposition, recommendation engine, improved performance