资源列表
DeepLearnToolbox---master
- 深度学习，用卷积神经网络做字符识别的好程序。-deep learning
owlqn
- 用 go 语言实现 owlqn 算法 owlqn 算是是一种优化的 逻辑回归 算法-Using go language to realize owlqn algorithm Owlqn is an optimized logistic regression algorithm
moo
- 多目标遗传算法，程序结构简单完整，可以作为初学多目标优化问题的参考。-MOGA, simply complete the program structure can be used as a reference for beginners multi-objective optimization problem.
BP-neural-network-algorithm
- BP神经网络c#语言实现,有比较详尽的注释说明，方便基本了解算法结构。-BP neural network c# language, there are more detailed explanatory notes to facilitate a basic understanding of the algorithm structure.
WCA
- 一种新的智能优化算法，水循环算法，可以用来求解优化问题-water cycle. This code is prepared for single objective function (minimization), unconstrained, and continuous problems.
ABC_based-pnn
- This code is a matlab Artificial Bee Colony based Polynomial neural network, using set is CHD,HOUSING,JENKIN,MACKEY.
QrsDetector
- it is code of finding QRS of a ECG waveforms.
calculator
- it is a full gui of calculator created using guide option in matlab.
RBFN_Example_v2014_08_18
- it is a code of kmeans-RBF neural network.
PSO-code
- it is code of particle swarm optimization in matlab.
libsvm-master
- LIBSVM是台湾大学林智仁(Lin Chih-Jen)教授等开发设计的一个简单、易于使用和快速有效的SVM模式识别与回归的软件包，他不但提供了编译好的可在Windows系列系统的执行文件，还提供了源代码，方便改进、修改以及在其它操作系统上应用；该软件对SVM所涉及的参数调节相对比较少，提供了很多的默认参数，利用这些默认参数可以解决很多问题；并提供了交互检验(Cross Validation)的功能。该软件可以解决C-SVM、ν-SVM、ε-SVR和ν-SVR等问题，包括基于一对一算法的多类模式
SVM(english)
- 英文版的支持向量机的理论，有详细的理论证明，便于理解图像的目标跟踪问题-Support vector machine English version of the theory, a detailed theoretical proof, easy to understand the image target tracking problem