资源列表
Krill-Herd
- 这是基本的磷虾群智能算法，简单实用，适合初学者使用。-This is the basic of krill swarm intelligent algorithm, simple and practical, suitable for beginners to use.
GSO
- 这是基本的萤火虫算法，简单高效，非常适合初学者使用。-This is the basic of firefly algorithm, simple and efficient, very suitable for beginners to use.
FOA
- 这是基本的果蝇优化算法，简单高效，非常适合初学者使用。-This optimization algorithm is a basic flies, simple and efficient, very suitable for beginners to use.
DE
- 这是基本的差分进化算法，简单高效，非常适合初学者使用。-This is the basic differential evolution algorithm, simple and efficient, very suitable for beginners to use.
ABC_MATLAB
- 这是基本的蚁群优化算法，简单高效，非常适合初学者使用。-This is the basic ant colony optimization algorithm, simple and efficient, very suitable for beginners to use.
svm
- 对支持向量机硬间隔，软间隔和核函数的实现，采用的核为高斯核，高斯核所需的数据集包含在data中。-Support vector machines for hard intervals, soft interval and kernel implementations, using Gaussian kernel by kernel, Gaussian kernel required data set contains the data in.
wine_SVM
- 基于支持向量机的二分类模型，有效的解决了红酒分类问题-SVM binary classification model based on effective solution to the problem of wine classification
twin-support-vector-machine
- 孪生支持向量机（Twin support vector machine,TWSVM、TSVM)是SVM的一种变形算法。该TWSVM用于二分类，适合初学者有。-Twin support vector machine（TWSVM、TSVM)is a modified algorithm of SVM. This code is for beginner.
chengxu.m
- lm算法功能实现 拟合曲线 得到想要的曲线-lm algorithm functions to achieve the desired curve fitting curves
CUDA-convnet
- HINTON的学生alex写的有关深度学习的图像分类上在cuda上的实现-Image classification HINTON alex students wrote about the depth of learning implemented on cuda' s
[codes]NIN
- 是2014年的cnn上的一个变化的网络，将卷积层与池化层之间的线性关系变成1×1的卷积层的非线性关系，名为network in network-Is a change in the 2014 cnn on the network layer of the linear convolution and pooled into a non-linear relationship between the layers 11, convolution layer, called the network
[codes]LeNet-5
- 是matlab的代码，关于yann Lecun在89年提出的cnn的原型，这个代码成功应用于欧洲很多国家的手写支票识别-Is matlab code on cnn yann Lecun prototype made in 1989, this code successfully applied to handwriting recognition check many European countries