搜索资源列表
K-meanCluster
- How the K-mean Cluster work Step 1. Begin with a decision the value of k = number of clusters Step 2. Put any initial partition that classifies the data into k clusters. You may assign the training samples randomly, or systematically as the f
Example4
- 采用贝叶斯正则化算法（抑制过拟合）提高 BP 网络的推广能力，采用两种训练方法， 即 L-M 优化算法（trainlm）和贝叶斯正则化算法（trainbr），用以训练 BP 网络；-Bayesian regularization algorithm (inhibition of over-fitting) to improve the generalization ability of BP network, using two training methods, that LM opti
PSOtoolbox.rar
- 微粒群算法[PSO ] 是由Kennedy 和Eberhart等于1995 年开发的一种演化计算技术, 来源于对鸟群捕食过程的模拟。PSO同遗传算法类似，是一种基于叠代的优化工具，但与遗传算法使用遗传操作子进行优化不同，利用群体中各个体之间的“协作”与“竞争”关系，根据自身及其竞争者的飞行经验，调整自己的行为。同遗传算法比较，PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化，神经网络训练，模糊系统控制以及其他遗传算法的应用领域。,Particle Swarm Opt
cd40192
- 清华大学cuda培训教程 gpu并行算法 高清版pdf-Tsinghua University training course cuda parallel algorithm gpu HD version pdf
tsp_nn
- KNN classifiers, training is training set, testing is test set, D is the distance, D=1 is mandistance D=2 is 欧氏距离 D=3是 infinite norm K is the number of selected neighbors- KNN classifiers, training is training set, testing is test set,
MPI-develop-details
- mpi 并行计算程序开发培训（leveno）-mpi parallel computing application development training (leveno)
training-2003
- 这是中科大的并行运算学习资料，个人感觉很有用处-Cultivation of parallel computing is to learn information useful personal feeling
COROUTINE
- 一个高手 写协程源码，可以 在MCU等系统上运行-Training game to write a master document, you can refer to learning
convlutional_network_GPU
- 卷积神经网络的GPU实现。使用GPU计算来加速神经网络训练。-GPU convolution neural network implementation. Accelerate the training time
High-performance-computing
- 中科院高性能计算平台培训ppt，介绍了高性能计算平台使用方法。-CAS high-performance computing platform training ppt, introduced the high-performance computing platform to use.
IntroCompMod
- Matlab UCL training useful for computational analysis
MPIch-KNN
- 基于MPICH的KNN并行化计算，固定5个进程同时计算，经24W个训练样本学习，预测效果良好.-MPICH-based KNN parallel computing, fixed five processes simultaneously calculated by 24W training samples to learn, good prediction.
HMM_EM
- Hadoop隐马尔科夫模型的实现，有训练算法（EM）,产生的模型参数可以用来单机使用，亲测可用，可供正在学习hadoop的同学参考-Implement Hadoop hidden Markov model, there are training algorithm (EM), the model parameters can be used to produce stand-alone use, pro-test available for reference students are lear
5CUDAProgModel
- CUDA最新培训课件,内容详细，通俗易懂。-The latest CUDA training courseware, instructor for the University of Science and Technology of China doctoral Zhou Bin. Detailed and easy to understand.
MPI_OpenMP
- 里面包含MPI以及OpenMP的培训资料和MPI在分子动力学领域应用的资料-Information which contains MPI and OpenMP and MPI training materials in the field of molecular dynamics applications
shiyan1
- 利用多GPU进行分布式训练,用的是tensorflow的Keras平台(Distributed Training Using Multi-GPU)