资源列表
selfAffinity
- AP是在数据点的相似度矩阵的基础上进行聚类.对于规模很大的数据集,AP算法是一种快速、有效的聚类方法,这是其他传统的聚类算法所不能及的,-A semi-supervised clustering method based on affinity propagation (AP) algorithm is proposed in this paper. AP takes as input measures of similarity between pairs of data points. AP
案例1
- BP神经网络的数据分配，对语言特征信号进行分类。(The data distribution of the BP neural network is used to classify the language characteristic signals.)
BP
- bp神经网络 matlab 实现 深度学习方向(BP neural network matlab realizes deep learning direction)
3115005002-蔡梓烽
- A*算法路径搜索，一字棋盘的模拟，决策树分类算法(Path search of A* algorithm)
BPNN
- 很全的BPNN代码，还附有例子，方便大家一起学习，希望可以帮助到大家(Very complete code, additional examples, especially easy to understand)
Speech-signal-classification-
- 语音特征信号识别是语音识别研究领域中的一个重要方面,一般采用模式匹配的原理解 决。语音识别的运算过程为:首先,待识别语音转化为电信号后输入识别系统,经过预处理后用数学方法提取语音特征信号,提取出的语音特征信号可以看成该段语音的模式。然后将该段语音模型同已知参考模式相比较,获得最佳匹配的参考模式为该段语音的识别结果.-Speech characteristic signal recognition is an important aspect in the field of speech re
MGA
- 一个matlab 的多目标程序，很好的程序-A matlab multi-target program, good program
Recipes-for-Mining-Twitter
- 互联网海量数据的数据挖掘，使用python编写算法-data ming
bp
- bp神经网络程序，应用非常之广。适合初学者学习-bp neural network program, the application is very broad. Suitable for beginners to learn
BP
- BP神经网络的数据分类-语音特征信号分类-BP neural network data classification- classification of speech signal characteristics
Neural-network222
- BP神经网络的数据分类-语音特征信号分类，6个文件，四个为数据文件-BP neural network data classification- speech feature signals classification, 6 files, four for data files
The-BP-neural-network-
- BP网络能学习和存贮大量的输入-输出模式映射关系，而无需事前揭示描述这种映射关系的数学方程，此代码能实现BP神经网络的数据分类-语音特征信号分类-BP network can learn and store a lot of input and output model mapping relations, without prior reveals describe the mapping relation mathematical equations, the code can realiz