资源列表
人脸识别系统-研发
- 基于Labview灰度匹配的简单人脸识别，基于Labview2016开发(Simple face recognition algorithm)
LSTM-MATLAB-master
- 亲测有效，效果很好~~感觉写的很简明，有注释(Pro-test effective, good effect, feeling very concise with comments)
卷积神经网络python代码
- 用于进行图像识别与大型图像的处理，是一种高效的识别方法(It is an efficient recognition method for image recognition and large image processing.)
CMAC逼近非线性函数
- 利用小脑模型神经网络逼近非线性函数，MATLAB编写m文件实现，给出逼近误差(Cerebellar model neural network is used to approximate nonlinear functions. MATLAB is used to write M files, and approximation error is given.)
RBF神经网络逼近非线性函数
- 利用径向基神经网络逼近非线性函数，MATLAB编程实现，给出训练误差(Radial basis function neural network is used to approximate nonlinear functions. MATLAB programming is implemented to give training error.)
模糊神经网络
- 模糊预测，利用模糊神经网络达到各种预测的目的(fuzzy neural network)
dqn
- 简单程序，很能说明DQN的运行方式，通过深度网络和Qlearning的结合，训练使得最后小球能移动到最左边(Simple procedures, it can explain the way of DQN, through the combination of deep network and Qlearning, so that the last ball can move to the left.)
Hedging EA
- 外汇货币对冲，减少单边的风险。非常合适广大金融编程者学习借鉴。(Currency hedging, reducing the risk of unilateral.)
Genetic_Algotithm
- 用遗传算法求y=x*sin(10*pi*x)+2的最大值 -1=<x<=2 精确到6位小数 pow(2,21)<3*1000000<pow(2,22) 编码的二进制长度为22 (Using genetic algorithms seek y = x* sin (10* pi* x)+2 maximum-1 = <x<=2)
Autoencoder_Code
- Hilton的自动编码器实现代码(rbm based on matlab)
RBM-DBN
- 有限玻尔兹曼机、深度置信网的Matlab实现，用mnist数据进行验证，对理解深度学习原理有帮助。(A Finite Boltzmann machine and deep belief network are implemented in MATLAB and verified with MNIST data. It is helpful to understand the principle of deep learning.)
TFIDF算法的C#实现
- 支持英文分词，无中文分词。采用Centivus.EnglishStemmer.dll库