prmr

Score: 13
Create time: 2013-12-23 22:44:41

channel_noisy.rar - noisy channel simulation
mimo_simulation.rar - mimo wireless communication simulation
p1.rar - mimo detection and neural network
NeuralNetwork_Demo.zip - easy neural netwok demo for biginer
NaiveBayesDemo.zip - naive bayes easy demo for learn
easynnw.rar - easy neural network weighted
awgn-channel.zip - white guassian noise model
bp_xor.rar - backpropagation neural network for xor logic

PERFORMANCE OF BPSK OVER RICIAN FADING CHANNEL.zip - Performance of BPSK modulation over Rician channel
ricegen.rar - generates a fading signal where a direct (LOS) component is present Rician channel
block-coding.rar - Block coding CODED BPSK-AWGN AND NONSELECTIVE Rayliegh FADING CHANNEL with INTERLEAVING Rayleight fading channel amplitude effect
Machine-Learning-Homeworks.docx.zip - Machine Learning Homeworks
gaussianprocess4Clas.rar - 高斯过程是一种非参数化的学习方法，它可以很自然的用于regression，也可以用于classification。本程序用高斯过程实现分类！
Non_linear_Channel_equalizer.zip - 在嘈杂的非线性渠道，采用LMS算法，设计新颖的数字均衡器。
FIR-differentiate.rar - By building a nonlinear function relationship between an d the error signal，this paper presents a no— vel variable step size LMS(Least Mean Square)adaptive filtering algorithm．
wangluojihua.rar - 用delphi语言实现运筹学网络计划分级程序
ID3_kidney.rar - 以从医院病案室获得的3022例数据为样本，在完成样本数据库以及糖尿病并发症的多维数据集设计后，以糖尿病并发症流行病学知识发现为重点，研究定性数据定量化挖掘模型及算法引擎的设计与实现，即将关联模型引入糖尿病并发症的流行病学研究,运用决策树技术对数据样本进行分析，采用ID3算法找到最优决策树。
K-means(delphi).rar - 数据挖掘K-means聚类算法的delphi实现
TurboNLR.zip - Delphi Pascal 数据挖掘领域算法包 非线性回归分析
RegCompProjects.ZIP - Delphi Pascal 数据挖掘领域算法包 回归分析
file-2.rar - Clustering is the unsupervised classification of patterns (observations, data items, or feature vectors) into groups (clusters). The clustering problem has been addressed in many contexts and by researchers in many disciplines this reflects its broad appeal and usefulness as one of the steps in exploratory data analysis. However, clustering is a difficult problem combinatorially, and differences in assumptions and contexts in different communities has made the transfer of useful generic concepts and methodologies slow to occur. This paper presents an overview of pattern clustering methods from a statistical pattern recognition perspective, with a goal of providing useful advice and references to fundamental concepts accessible to the broad community of clustering practitioners.
Kode-Program-Algoritma-Nearest-Neighbor.rar - In pattern recognition, the k-nearest neighbor algorithm (k-NN) is a method for classifying objects based on closest training examples in the feature space. k-NN is a type of instance-based learning, or lazy learning where the function is only approximated locally and all computation is deferred until classification. The k-nearest neighbor algorithm is amongst the simplest of all machine learning algorithms: an object is classified by a majority vote of its neighbors, with the object being assigned to the class most common amongst its k nearest neighbors (k is a positive integer, typically small). If k = 1, then the object is simply assigned to the class of its nearest neighbor.
Kode-Program-Algoritma-C4.5.rar - C4.5 is an algorithm used to generate a decision tree. C4.5 is an extension of Quinlan s earlier ID3 algorithm. The decision trees generated by C4.5 can be used for classification, and for this reason, C4.5 is often referred to as a statistical classifier.
FuzzyClassifier.zip - A Fuzzy classifier using matlab, c++ and delphi. the source code has merged codes developed by these programming languages to do classification.
Gauss-SVM.rar - 基于Gauss 核函数SVM分类机，使用二阶几何方法训练。
goodsdetails.rar - 货物分类统计系统，每月汇总，可以查询累计数据，按月查询

Favorite: