资源列表
FLch7NNeg1
- 第七章的用改进的神经网络MBP算法辨识 例7.1 对具有随机噪声的二阶系统的模型辨识，是侯媛彬和汪梅的系统辨识课本上第七章的的实验。 -Chapter VII of the MBP with an improved algorithm for neural network identification Example 7.1 that have random noise second-order system model identification is Houyuan Bin an
bianshi2
- 一个复杂系统神经网络辨识,采用改进BP算法对随机噪声的二阶系统进行模型辨识,效果挺好的.-A complex neural network system identification, using BP algorithm to improve the random noise of the second-order system identification model, the effect of the good.
DE_and_Goal
- 差分进化算法DE，及检验函数Goal。5个检验函数用来验证DE算法的有效性。-Differential evolution algorithm DE, and test function Goal. The five test functions are used to verify the effectiveness of the algorithm of DE.
BPNN.py
- BP全称为Back Propagation，意思为反向传播，该方法是用来对人工神经网络进行优化的，即误差反向传播算法。-BP full name is Propagation Back, mean back propagation, the method is used to optimize the artificial neural network, that is, the error back propagation algorithm.
createDistMat
- PCA人脸识别 This package implements basic Principal Component Analysis in Matlab and tests is with grayscale portion of the FERET database. Images are not preprocessed and it is up to the user to preprocess the images as wanted, not changing the fi
3.6lq
- 用RBF网络识别四边形，三角形图像,提取特征量，然后进行仿真识别。-RBF network identification using quadrilateral, the triangle image, extract features, and then simulated to identify.
SimulatedAnnealing
- 模拟退火算法，利用该算法，实现方程的快速求解-Simulated Annealing
myGA
- 用遗传算法求函数 max f(x1,x2) = 100 (x1^2-x2^2)^2 + (1-x1)^2, -2.005 ≤ xi ≤ 2.005 的最大值-Using genetic algorithms get max f (x1, x2) = 100 (x1 ^ 2-x2 ^ 2) ^ 2+ (1-x1) ^ 2, when-2.005 ≤ xi ≤ 2.005
FCM-Overfitting--Subtractive
- 此文件包含三个文件，分别是模糊均值聚类算法，过拟合和减法聚类。-This file contains three documents, namely fuzzy means clustering algorithm, over-fitting and subtraction clustering.
Groundwater-Prediction-on-RFN
- 用径向基网络预测地下水位源代码，给出了不同神经元个数下对应的均方差值以及训练、验证和测试曲线的图形-Radial basis function network forecasting of groundwater source, given the number of different neurons corresponding to the mean square difference and training, validation and test curve graphics
exm_pso_1
- 本matlab代码利用粒子群算法求一个函数的极值-Particle swarm algorithm for a function extremum
Softmax
- 一个小demo,用softmax实现数据分类，数据有4类，均服从高斯分布-A small demo, a classifier with softmax softmax is implemented to classify 4 classes of datas which are generated by gaussian distribution