资源列表
MATLABSHOUXIESHIBIE
- 这是一个用matlab实现的RBF神经网络手写数字识别算法.此算法加入相应的手写数字图后可以运行.-This is a realization of using Matlab RBF neural network recognition algorithm handwritten figures. This algorithm adherence to the corresponding figures handwritten map after the run.
PFC
- 采用特征脸的人脸识别MATLAB程序,加了中文注释-Eigenface using MATLAB Face Recognition procedures, add the Chinese Notes
感知准则函数
- 感知准则函数,包括固定增量法和梯度下降法,都是模式识别中的基础算法.-perceptual function criteria, including fixed increment and the gradient method, which is pattern recognition algorithm based.
Fisher1
- 模式识别的经典算法FISHER算法,课程设计的实验作品-the classic pattern recognition algorithm Fisher algorithm, the experimental curriculum design works
AI.ID3
- 用决策树（ID3算法）进行关键字提取 根据词频特征对文章中的关键字时行识别-using decision tree (ID3 algorithm) for keyword extraction Frequency characteristics according to the article, keyword identification at the OK
模式识别常用模型和算法
- 模式识别常用模型和算法,包括BP神经网络的C语言实现，BP神经网络解决异或问题，HMM的C语言实现-common model and pattern recognition algorithms including Neural Network C language, BP neural network solutions differences or problems, HMM C language, etc.! !
AOLMM
- 基于局域法多步预报模型的混沌时间序列预报模型，对多个典型混沌序列的仿真测试表明，本算法具有良好的多步预测精度和较好的抗噪声能力-based multi-step prediction model of chaotic time series prediction model, a number of typical chaotic sequence of simulation tests show that the algorithm has a good multi-step forecast
infomaxica
- 信息极大化算法，用在模式识别中可以提高识别率。-information maximization algorithm, used in pattern recognition can improve recognition rates.
prtools
- 这个为模式识别工具箱，里面有很多源代码，希望对学习模式识别的读者有用。-pattern recognition to the toolbox, which contains many source code, and I hope to learn a useful pattern recognition readers.
onedimca
- 一维元胞自动机源代码，描述一维元胞自动机规则，并进行仿真演示-one-dimensional cellular automata source code, a descr iption dimensional cellular automata rules, and simulation demo
CATest
- 在flashmx下编写的程序，解释并演示元胞自动机规则，并进行动画演示-flashmx prepared in the process, explain and demonstrate cellular automata rules, and animation demo
java_celluar
- 元胞自动机，演示元胞自动机规则 直接解压缩便可使用-Cellular Automata, presentations cellular automata rules directly extract can use