资源列表
MRF
- 说明MRF过程及应用，用于展示MRF的优点和结果的可靠性，介绍其原理，形像生动。-Descr iption of the MRF process and application, used to display the MRF advantages and reliability of the results, introduce the principle, vivid image.
FuzzyRBF
- 模糊神经网络，结合模糊算法与神经网络算法进行预测-Fuzzy neural network, combine the fuzzy algorithm with neural network algorithms to predict
MATLAB-and-GA
- 一些关于运用matlab工具箱的文档，主要针对遗传算法-Some documentation on the use of matlab toolbox for genetic algorithm
ann-svm
- 有多个程序，用ANN和SVM进行比较用于模式识别分类的效果-Multiple programs, the comparison for the classification of the pattern recognition results using the ANN and SVM
BP
- 用BP神经网络进行预测，误差计算，具有较好的性能-BP neural network prediction, error calculation, and has better performance
feature_selection_similarity
- Feature selection method using similarity measure and fuzzy entroropy measures based on the article: P. Luukka, (2011) Feature Selection Using Fuzzy Entropy Measures with Similarity Classifier, Expert Systems with Applications, 38, pp.
Artificial-Intellegence
- 人工智能OCR文字识别程序，已经测试过，是一个不错的程序-Artificial intelligence OCR text recognition program artificial intelligence, Artificial Intelligence, OCR text recognition program OCR text recognition program artificial intelligence OCR text recognition program
K-means
- 模式识别中聚类分析经典算法，K-均值算法，C语言编写，可以读入文件，处理任意维数和任意个数的特征向量，附有测试数据。-The classic pattern recognition, cluster analysis algorithm, the K-means algorithm, written in C language, can read the file, handle any number of dimensions and any number of feature vectors
exp7
- LBG分类算法 用初始室心随机法和扰动因子分裂法两种方法，比较不同方法不同参数设置时的分类性能。 -LBG classification algorithm vector quantization: vector normalization within a certain range for a particular type, consists of two steps: first generate a codebook, which is the speech feature v
acm_math
- 一些关于程序的基本算法 一些关于程序的基本算法-math with acm
rNeuuralNetwob
- rbf神经网络用于分类的matlab程程序源码，修改数值就可适用 可直接使用。 -rbf neural network for classification by matlab program source code, modify the value can be applicable for immediate use.
speech-recognize-HMM-CPP
- 在语音识别中，用隐马尔科夫模型（HMM）进行训练，用C++编写的仿真代码-In speech recognition, hidden Markov model (HMM) for training, simulation code written in C++