搜索资源列表
pattern_recognition
- 模式识别中的几个常用算法,包括ISODATA算法、K-均值算法、感知器算法、LMSE最小误差、贝耶斯分类。-pattern_recognition have some usual algorithm,including ISODATA algorithm,K-means algorithm,apperceive algorithm ,
percept1
- 多个感知器神经元的分类问题 %四类输入向量-many neurons in the classification of four input vector%
1060339061_hw1
- 多个感知器分类,属于人工智能的神经网络的 -number perceptron classified into artificial intelligence neural network
感知器神经元解决较复杂输入向量的分类问题
- 感知器神经元解决较复杂输入向量的分类问题-Perceptron neurons to solve more complex input vector classification
基于感知器神经网络处理复杂的分类问题
- 基于感知器神经网络处理复杂的分类问题-based perceptron neural network to handle complex classification problems
利用双层感知器神经网络处理线性不可分的分类问题
- 利用双层感知器神经网络处理线性不可分的分类问题-use double perceptron neural networks to handle non-linear classification
Perceptron-twotextcategory.rar
- 感知器神经网络对简单的句子进行分类的程序, 可以扩展为对文章进行文本分类,Perceptron neural network for simple sentence classification procedures can be extended for text classification articles
masotti_MLP_Classificazione
- 多层感知器的分类程序! -Multi-layer perceptron classification procedures!
juleihefenlei
- 对一组样本通过C-means算法进行聚类分析,然后对聚类结果用感知器算法进行分类,是模式识别课程的实验。-Samples of a group through the C-means cluster analysis algorithm, and then the results of the clustering algorithm used to classify perceptron is a pattern recognition course experiment.
ganziqifenlei
- 采用神经网络感知器算法对给定的两类样本进行分类,效果显著!-Perceptron neural network algorithm for a given two types of samples for classification, a significant!
recognition
- 用感知器分类算法和最近邻分类算法对三类点进行分类,具有窗口界面,用鼠标点击就可以了,程序自动给出分类界面-Classification algorithm with the sensor and the nearest neighbor classification algorithm to classify three categories of points, with the window interface, with a mouse click can be had, the prog
Sense
- W-H算法和感知器算法,VC6下的一个基于对话框的实现了数据的分类小的程序-WH algorithm and the Perceptron Algorithm, VC6 under the implementation of a dialog-based data classification procedures for small-
Conception
- 用vc写的神经网络感知器分类算法演示实现过程,效果不错。-Written by vc perceptron neural network classification algorithm implementation process demonstrated good results.
pereceptron
- 感知器算法分类器,感知器是一种双层神经网络模型,一层为输入层,另一层具有计算单元,可以通过监督学习建立模式判别的能力-Perceptron Algorithm classifier, perceptron neural network model is a double layer of input layer, another layer with a calculation unit, you can determine by monitoring the ability of learni
zuoye2
- 感知器分类作业,将200个二维样本分成两类-Sensor classification operations, 200 two-dimensional samples divided into two categories
NNLM1
- 神经网络与机器学习第一章:感知器分类半月形数据-Neural Networks and Machine Learning Chapter I: Classification meniscus sensor data
2
- 通过随机产生高斯分布数据,来对数据进行分类。(The data are classified by random generation of gaussian distribution data.)
单层感知器
- 基于深度学习实现单层感知器的python代码,用单层感知器处理非线性分类问题,观察结果。(The Python code of single layer perceptron is realized based on depth learning, and the nonlinear classification problem is processed with a single layer perceptron, and the results are observed.)
模式识别代码
- 基于matlab的Iris、乳腺癌数据集的模式识别分类算法,含有 遗传算法+SVM、isodata、感知器算法、LMSE、神经网络等算法的实现代码,用于聚类效果良好,是模式识别大作业的参考资料(The pattern recognition classification algorithm based on MATLAB for Iris and breast cancer data sets contains the implementation code of genetic algorit
2
- (a)产生两个都具有200个二维向量的数据集和(注意:在生成数据集之前最好使用命令randn(‘seed’,0)初始化高斯随机生成器为0(或任意给定数值),这对结果的可重复性很重要)。向量的前半部分来自均值向量的正态分布,并且协方差矩阵。向量的后半部分来自均值向量的正态分布,并且协方差矩阵。其中是一个2*2的单位矩阵。 (b)在上述数据集上运用感知器算法,并且使用不同的初始向量初始化参数向量。 (c)测试每一次算法在和上的性能。 (d)画出数据集和,以及分类面。((a) Generate