资源列表
Robotics_Modelling-Planning-Control
- 国外关于机器人理论及其应用的经典书籍，内有不少例子，值得一看-Foreign classic books on the theory and its application of robots, there are quite a few examples, worth a visit
HMMtoolbox
- 此工具箱支持推理和学习HMM模型,拥有的算法有离散输出（DHMM），高斯输出（GHMM），或其混合物的高斯输出（mhmm）。-Hidden Markov Model (HMM) Toolbox for Matlab，This toolbox supports inference and learning for HMMs with discrete outputs (dhmm s), Gaussian outputs (ghmm s), or mixtures of Gaussians outp
pvm_code
- PVM is a fast supvervised leanring algorithm who combine dimensioin reduction and neural network training. I have prepared the code (including six algorithms KPVM, EL M/SVD, BP/SVD and BPVM, and one dataset "Face") and put them in one zip file "pvm
Feature-selection-and-extraction
- 武汉大学《模式识别导论》特征的选择与提取的课件-feature selection and extraction of 《pattern recognition introductory》from Wuhan University.
PIDintelegentoptimal
- pid的几个智能优化整定方法源代码，对学习PID整定有一定的帮助-pid several intelligent optimization tuning method source code, learning PID tuning some help
StudentMSE
- 用MSE算法对学生数据集进行分类，对每个部分都有很好的说明，对画图也有详细说明-MSE algorithm to classify students datasets have a good descr iption of each part of the detailed descr iption of the drawing
uspsMSE
- 用MSE算法对usps数据集进行分类，对每个部分都有很好的说明，对画图也有详细说明-USPS dataset using MSE algorithm classification, each part has a good descr iption of the drawing there are described in detail
BP神经网络中在数学建模中应用
- BP神经网络中在数学建模中应用，附有程序的，保证很有用。-The BP neural network in the application of mathematical modeling
baseflight
- 基于STM32（ Cortex-M3）的飞行控制器源代码，包含PID等各种算法，可直接使用。-STM32 (Cortex-M3)-based flight controller source code, contains the PID various algorithms, can be used directly.
nbem.tar
- Naive bayes classifer的具体实现，使用多模态事件模型表示，提供EM算法用于半监督和无监督学习，最大似然估计用于有监督学习-The Naive bayes classifer implementation, using a multi-modal event model EM algorithm for semi-supervised and unsupervised learning, maximum likelihood estimation for supervised
8puzzle問題
- 8puzzle問題 樹狀求解 用c++寫成-8puzzle with tree
DCES
- 利用训练好的朴素bayesian网络对数据集进行分类。通过添加人工噪声的干扰来分类精度的检测。-By trained naive bayesian network to classify the data set. By the add artificial noise interference to the classification accuracy of detection.