资源列表
machine-learning-ex3
- 斯坦福大学机器学习课程作业第三章，主要包含人工神经网络算法初阶实战。-Stanford University machine learning course work The third chapter, mainly contains the artificial neural network algorithm initial combat.
machine-learning-ex4
- 斯坦福大学机器学习课程作业第四章，主要包含人工神经网络算法进阶实战。-Stanford University machine learning course of the fourth chapter, mainly including artificial neural network algorithm advanced combat.
machine-learning-ex5
- 斯坦福大学机器学习课程作业第五章，主要包含加正则项的线性回归算法实战。-Stanford University machine learning course of the fifth chapter, including Regularized Linear Regression algorithm combat.
machine-learning-ex6
- 斯坦福大学机器学习课程作业第六章，主要包含支持向量机算法实战。-Chapter 6 of the Stanford University machine learning course, mainly includes support vector machine algorithm combat.
matlab_codes
- 心电信号产生程序 仿真人体正常状态下的心电信号-ECG simulation of the human body have a procedure under normal ECG
1
- 使用高斯白噪声和正弦信号模拟产生肌电信号-Gaussian white noise and sine generated EMG signal simulation
OpenCode_luzhenbo
- [原创]混沌分析,聚类分析,支持向量机,群体智能优化,深度学习(卷积神经网络)Matlab工具箱全开源版本下载 作者: 陆振波 毕业院校：海军工程大学，船舶与海洋工程(水声工程)，博士 精通方向：信号处理，图像处理，人工智能，模式识别，支持向量机，深度学习，机器学习，机器视觉，群体智能，非线性与混沌，Matlab与VC++混编，大数据 擅长技能：团队激励，战略规划，企业文化，组织架构，C，C++，Matlab，OpenCV，并行计算，图像处理，智能视觉，卷积神经网络，人脸检测，行
DT
- 人工智能方面的决策树算法，包括C4.5 ID3 CART三种评判标准实现方式 -Artificial intelligence decision tree algorithms, including three kinds of criteria C4.5 ID3 CART implementation
code
- caffe 日志解析 以及画图工具。将日志解析为所需数据并保存为csv 文件。-caffe log parsing and drawing tools. The log parsing for the required data and save it as a csv file.
Neural-network-ppt-and-program-code
- 神经网络学习课件及示例的源代码，适合初学者学习-Neural network learning courseware and sample source code, suitable for beginners to learn
BP_code
- BP神经网络的应用的Matlab程序：数据分类、非线性系统建模、函数极值寻优。-The application of BP neural network of Matlab program, data classification optimization extreme nonlinear system modeling function
peizgshhun
- 此方式是属于人工智能算法，处理得到最优解，通过突出的算法与图像分解，模式识别很有帮组 -This approach is part of artificial intelligence algorithms, the process to obtain the optimal solution, by projecting the image decomposition algorithm, pattern recognition is very help group