资源列表
webinar_files
- This a demonstration of how to find a minimum of a non-smooth objective function using the Genetic Algorithm (GA) function in the Genetic Algorithm and Direct Search Toolbox. Traditional derivative-based optimization methods, like those foun
brain_demo
- NMF非负分解进行脑信号的处理的程序，包括导入brain image，NMF信号分解，结果导出。-NMF2, by itself, creates a new brainNMF or raises the existing singleton
PRGEV
- 该程序能利用遗传编程，进化出一个能计算阶乘的程序。计算过程中，前面是进化过程。后面是测试。-The program can take advantage of genetic programming, evolution of a program to calculate the factorial. Calculation process, the front Process of evolution. Followed by the test.
Bayespatternclassificionexample
- 用ＶＢ编写的模式识别程序（包括：坦克的识别，病诊断，细胞的识别）-VB prepared by the pattern recognition procedures (including : tanks in the identification, diagnosis, cell identification)
SVM
- 该例是对SVM分类机制的精辟分析，能帮助无助的初学者增强信心。-The case is a penetrating analysis of the mechanism of SVM classification, also can help beginners to enhance confidence.
DEOABODPSO
- 人工智能的经典算法：基于动态粒子群算法的动态环境寻优算法-Classic artificial intelligence algorithms: dynamic particle swarm optimization-based dynamic environment optimization algorithm
AMM
- 异步电动机的模糊控制的仿真,大家一起研究.
M-PSO
- 在粒子群算法的基础上进行改进的动态粒子群寻优算法，对于动态环境可以完成有效寻优，跟踪动态极值-On the basis of improved particle swarm optimization dynamic particle swarm optimization algorithm for dynamic environment optimization can be done effectively, track dynamic extremes
LIBSVM
- 利用matlab读取libsvm的工具包，实现数据的自动分类。压缩包里有训练文件及测试文件。-Read libsvm using matlab toolkit, automatic classification of data. Compression bag has training documents and test files.
mybp
- 基于BP神经网络编写价格预测程序，可参考
RNN识别数据
- 通过RNN网络对时序数据进行识别，文件内有训练样本和测试样本，实测有效。
BPN
- （C#实现）反向传播网络BPN：输入简单的训练样本训练各层的权值-(C# implementation) back-propagation network BPN: Enter the simple training of the training samples weights of each layer