canny图像边缘算法

我编写bposs的神经网络应用程序，第一次上传(of neural network applications, the first upload)

说明：  Enhanced Rotating Machine Fault Diagnosis Based on Time-Delayed Feedback Stochastic Resonance 论文的matlab代码，随机共振(Enhanced Rotating Machine Fault Diagnosis Based on Time-Delayed Feedback Stochastic Resonance)

说明：  pts-clipping与 pts与clipping(pts-clipping and pts and clipping)

matlab专用的贝叶斯网络工具包，内附安装教程(Bayesian network algorithm tools for matlab)

Training Artificial Neural Network. XOR Problem. Summation Units, Log-Sigmoid Neurons with Biases. Input Layer: 2, Hidden Layer: 2, Output Layer: 1 neurons. Returns mean square error between desired and actual outputs. Reference Papers: D. Karaboga, B. Basturk Akay, C. Ozturk, Artificial Bee Colony (ABC) Optimization Algorithm for Training Feed-Forward Neural Networks, LNCS: Modeling Decisions for Artificial Intelligence, 4617/2007, 318-329, 2007. D. Karaboga, C. Ozturk, Neural Networks Training by Artificial Bee Colony Algorithm on Pattern Classification, Neural Network World, 19(3), 279-292, 2009. */

三维TOA/AOA定位的泰勒级数展开最小二乘算法MATLAB源代码(Three dimensional TOA/AOA positioning Taylor series expansion least squares algorithm MATLAB source code)

自适应线性预测编码问题，利用白噪声序列生成信号序列，进而进行LMS迭代，计算滤波器权系数的轨迹曲线和衰减曲线(Adaptive linear predictive coding problem, the use of white noise sequence to generate signal sequence, and then LMS iteration to calculate the filter weights of the trajectory curve and the attenuation curve)

说明：  matlab开发个人桌面日历，纯为matlab更好的学习，和个人兴趣的培养。熟悉matlab语法规则。(development of personal desktop calendar matlab, matlab better purely for learning, training and personal interests. Familiar with the matlab syntax rules.)

AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire. In this project there two main files 1. ADABOOST_tr.m 2. ADABOOST_te.m to traing and test a user-coded learning (classification) algorithm with AdaBoost. A demo file (demo.m) is provided that demonstrates how these two files can be used with a classifier (basic threshold classifier) for two class classification problem.(AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire. In this project there two main files 1. ADABOOST_tr.m 2. ADABOOST_te.m to traing and test a user-coded learning (classification) algorithm with AdaBoost. A demo file (demo.m) is provided that demonstrates how these two files can be used with a classifier (basic threshold classifier) for two class classification problem.)

Hamming code in matlab.