资源列表
gui_antminer1.2.1
- Short descr iption: GUI Ant-Miner is a tool for extracting classification rules from data. It is an updated version of a data mining algorithm called Ant-Miner (Ant Colony-based Data Miner), which was proposed in 2002 by Parpinelli, Lopes and Freitas
全能趋势-EA
- 判断趋势： 1. 变色EMA21上穿EMA60，收盘价>变色EMA21时趋势为上升趋势，只开多； 开仓条件：RSI1>50且价格距离变色EMA21 80点时开多，止损300点 价格回调距离变色EMA21 80点时，开多，止损300点； 止盈条件：收盘价<ema34（或者变色ema21为绿色时） 2. 变色EMA21下穿EMA60,收盘价<变色EMA21时，趋势为下降趋势，只开空； 开仓条件：RSI1<50且价格距离变色EM
whuji23
- 本文结合Web油菜优质高产高效生产专家系统的开发实例，运用ASP技术和DCOM技术很好地实现了在产 生式知识规则的前件和后件中多媒体知识的融合及其控制，并实现了多媒体程序与分布式专家系统平台的无缝集 成。-Based Web rapeseed production of high-quality and high efficiency expert system development examples, ASP technology and DCOM technology to ach
svm
- 支持向量机matlab源码.zip希望能给大家带来帮助
NLP-speech-tagging
- 基于隐马尔可夫模型的中文分词、词性标注、命名实体识别-Based on Chinese word hidden Markov model, speech tagging, named entity recognition
matlab_neat
- 一类新的神经进化算法——NEAT，可同步进化BP网络的拓扑结构和连接权值，避免了网络结构的选择和设计，此程序是用于解决经典的XOR分类问题-A new neuroevolution algorithm is called NEAT.NEAT can evolve the topologies as well as the connection weights of BP network. this matlab program solves the XOR problem.
matlab
- matlab 实例仿真及源程序讲解，可以实现和仿真的m程序-matlab example
Breadth_of_Network_Topology_Discovery_Algorithm_an
- 基于广度优先的网络拓扑发现算法及实现Based on Breadth of Network Topology Discovery Algorithm and Implementation-Based on Breadth of Network Topology Discovery Algorithm and Implementation Based on Breadth of Network Topology Discovery Algorithm and Implementation
fingerprintrecognition1
- 这是一个指纹识别的源代码,指纹识别是比较成熟的模式识别!`-This is a fingerprint identification of the source code, fingerprint identification is a relatively mature pattern recognition! `
ANNforCharacterRecognization
- 用vc++编写的神经网络算法识别数字的一个程序-vc prepared with neural network algorithm for the identification of a number of procedures
SOM
- 经典的SOM人工神经网络例子源码，对研究这方面的程序的同志有一定帮助
RS reducta priori regression
- 基于粗糙集的知识约简算法和采用回归进行的知识约简表示-Based on Rough Set Knowledge Reduction Algorithm and the use of regression express the knowledge reduction