搜索资源列表
ganzhiqi_s200502106
- 模式识别-基于感知函数准则的线性分类器设计，完全自编代码，有详细说明。-pattern recognition-based perceptual function criteria for the classification of linear design, completely writing code is described in detail.
perceptron
- 线性分类器设计-感知机算法，对一组数据进行分类，分析w不同时的影响-Linear classifier design- Perceptron Algorithm
Kuschner-BayesianNetwork-feature
- Kuschner论文，贝叶斯网络方法在质谱数据特征选择。其中关于机器学习中贝叶斯分类器部分有完整原理分析，可以用于认知无线电网络的频谱感知等新领域。含有matlab程序大于100页，子函数很多。-Kuschner paper, Bayesian network methods of feature selection in mass spectrometry data. One of the Bayes classifier machine learning part of a complete
gentleboost
- 温柔的形变模型分类器和两个不同的weak-learners决定树桩和感知。 问题是进行多层次的one-vs-all策略-Gentle AdaBoost Classifier with two different weak-learners : Decision Stump and Perceptron. Multi-class problem is performed with the one-vs-all strategy
percep01
- 利用神经网络中感知器进行简单的线性分类。-With simple linear perceptron neural network classification.
Perceptron
- 这是一个单层感知器的神经网络程序，用来进行分类的，程序经过修改优化，精简清晰。-This is a single layer perceptron neural network program, to be classified, the program has been modified to optimize, streamline and clear.
perceptron
- 感知器判别。这学期模式识别课程作业，无误。用以分类前列腺数据。-Perceptron discriminant. the course assignments of pattern recognition in this semester ,used to classify data of the prostate
perceptron
- 用matlab库实现的感知器对二维向量进行分类,内包含数据-Implementation of perceptron to classif two-dimensional vectors using Matlab library. With data inside.
emial-spam
- 基于感知器算法的垃圾邮件识别，先通过训练集训练出分类器，然后通过测试集验证-Perceptron based spam detection algorithm
matlab
- 题目:设计二分类数据集合，满足 1 线性可分 2 线性可分但是有离群点 3 线性不可分 将利用神经网络感知器来进行操作. -Title: design binary classification data collection, meet 1 linear separable Two linear separable but there are outliers Three linear inseparable Will use the perceptron neur
Neural-Networks-Control
- 采用单一感知器神经元解决一个简单的分类问题:将二维平面上的四个输入矢量分为两类,其中两个矢量对应的目标值为1,另两个矢量对应的目标值为0-Single perceptron neuron solve a simple classification problem: the four input vectors are divided into two categories on the two-dimensional plane, wherein the two vectors correspo
131848141
- 模式识别线性判别算法，包括感知器算法，最小方差准则分类算法和Widrow-Hoff算法-Pattern recognition linear discriminant algorithms, including perception algorithm, minimum variance criterion classification algorithm and Widrow-Hoff algorithm
pocket-PLA
- 贪婪感知器算法。R语言实现版本，每次会把最优的分类抓在手上-pocket perceptron learning of algorithm
ANN
- 采用感知器网络实现分类，二维输入，二维输出-Using sensor networks classification, 2D input, 2D output
preception
- 模式识别的经典算法之一，感知器算法，用来对模式进行分类，采用matlab编写-One of the classic pattern recognition algorithm, perception algorithm, used to classify patterns using matlab prepared
Perceptron
- 本实验的目的是学习和掌握两种感知器算法：批处理感知器算法和批处理裕量松弛 算法。感知器算法是通过学习两类已标记的样本，建立一个线性分类器。学习的过程就是求解感知器权系数的过程，人们通过建立一个准则函数J(a),将求解感知器权系数的问题简化为一个标量函数J(a)的极小化问题，即当a为解向量时，J(a)最小。而极小化问题常用梯度下降法来解决。本实验给出了基于梯度下降法的两种感知器算法，介绍了原理并编程实现，最后对两种算法的特点加以比较分析。-The purpose of this study i
perceptron
- 自己编写的用感知器算法分类UCI数据集中的iris数据集-UCI classification by perception algorithm dataset iris data set
Perceptron-numerical-experiment
- 1.设计一个单一感知器解决简单分类问题 2.设计多个感知器神经元解决分类问题，并绘出图像 3.利用标准化感知器学习规则消除奇异样本对训练的影响-Design perceptron to solve classification problems
perceptronClustering
- fisher线性分类，多层感知器非线性分类，K-Means聚类-Fisher linear classification, multilayer perceptron linear classifiers, K-Means Clustering
homework2_2
- 实现批处理感知器算法的程序，用于分类训练集，同时记下收敛时的步数(Program to realize batch perceptron algorithm for classification of training set, and steps to write down the convergence)