资源列表
svmCLASSIFY
- 利用SVM对数据样本进行分类,实现样本分类。-SVM to classify the data samples, sample classification.
nway320
- 张量分解程序,支持平行因子分解模型和TUCKER分解模型-Tensor decomposition process, and support for parallel factorization model and TUCKER decomposition model
GAU
- 基于matlab的双层规划遗传算法源代码,应用效果良好,请使用-Matlab the bilevel programming genetic algorithm source code, with good results, use
benchmark-functions
- 单目标测试函数 单峰的多峰的 很多个matlab-Single-objective test functions unimodal the multimodal many matlab
DeepLearnToolbox_matlab
- matlab实现的深度学习算法,能够看到代码,对学习使用深度学习很有帮助-deep Learning
NN_UKF
- 基于无迹卡尔曼滤波的人工神经网络matlab程序-Similar to using the extended Kalman filter, Neural Networks can also be trained through parameter estimation using the unscented Kalman filter. This file provides a function for this purpose. It also includes an exampl
CAGA-
- 云自适应遗传算法
Neural-network-qiduanma
- 设用7个短线段构成1,2,3,4,5,6,7,8,9,10共10个数码图形,令这7个线段分别用一个矢量 来代表,又设对数码图形中用到的线段,相应分量取值为1,未用到的线段相应的分量取值为0,因此每个数码图形分别可由一个矢量表示,其顺序编号为: ,试设计一神经网络,能够区分奇数码和偶数码。-Set with seven short line segments 1, 2, 3, 4, 5, 10 digital graphics, 7 segment represented by a vector,
Neural-network-hanshunihe
- 设计并训练一神经网络使之逼近下列函数,x,y取值范围(0,3),函数精度0.02。函数为三角函数-Design and training of a neural network approximation the following functions, x, y in the range (0,3), the function accuracy 0.02. Function trigonometric functions
RANSAC
- ransac算法对特征点找到最好的模型匹配对,消除一些有缺点的误匹配-the ransac algorithm to find the best model matching feature points to eliminate some shortcomings mismatching
drtoolbox
- Matlab针对各种数据预处理的降维方法,源码集合。-Currently, the Matlab Toolbox for Dimensionality Reduction contains the following techniques: Principal Component Analysis (PCA) Probabilistic PCA Factor Analysis (FA) Sammon mapping Lin
pso-bp
- 粒子群优化的神经网络算法程序,可用于参数寻优-Particle swarm optimization neural network algorithm
