资源列表
PSO
- 用基本粒子群算法来求解无约束的优化问题。-Particle swarm optimization with solving unconstrained optimization problems
BP-neural-network
- 最基本的BP神经网络，数据可以自己改，实现一列数的拟合-BP neural network
guiyihuachuli
- 此是matlab的神经网络工具箱，呵呵，归一化处理的方式。不妨试验之。-This is the Matlab neural network toolbox, I belong to a way of processing. May wish to test it.
Hanno
- Hanno塔非递归实现，用c写的非递归实现Hanno塔问题。-The Hanno tower of non-recursive
shiyujisuan
- 遗传算法，有限差分，两种相结合，用于参数辨识-Genetic algorithm, finite difference, the two combined for parameter identification
BP_matlab
- 一个简单的利用ＢＰ神经网络进行线性函数数据拟合的程序。-A simple linear function of the data fitting program using BP neural network.
PhaSpaRecon
- 应用多变量相空间重构对分析脑电信号Multivariate analysis of the phase space reconstruction of the EEG-Multivariate analysis of the phase space reconstruction of the EEGMultivariate analysis of the phase space reconstruction of the EEG
SelPSO
- 混合粒子群算法 该算法能得到精确的结果-Hybrid Particle Swarm Optimization
TestofFaceRecognition
- 基于BP神经网络的人脸识别系统的训练集源代码。-A face recognition system based on BP neural network the training set of source code.
fisher_classify
- MATLAB版本的LDA线性分类器,具体包括计算类内离散度矩阵，类间离散度矩阵，以及训练集各类在新坐标轴上的投影。代码原来用于肌电特征的分类，亦可用于其他机器学习案例-the LDA classifier wrote in MATLAB
ganzhiqiyihuo
- 用两层感知器实现异或， 第一层是随机层，即权重何偏差随机确定，以第一层的输出作为第二层的输入-Achieved with two different sensor or the first layer is a random layer, that is, any deviation of random to determine the weight to the output of the first layer as a second layer of input
nett
- 人工神经网络的matlab实现，可以实现分类、预测等多种功能。-Matlab implementation of artificial neural network can achieve classification, prediction and other features.