搜索资源列表
ganzhiqi
- 模式识别分类器，本代码是感知器，训练数据在压缩包的fisher1.txt中
mm
- 感知器算法实验 w1 w2 分类 早期“人工神经网络”模型-Perceptron classification algorithm w1 w2 early experimental
pattern
- 模式识别里面的感知器算法,对地物分类,利用判别向量,实现判别函数-pattern recognition sensing class things
ganzhiqi
- 用感知器分类算法分离三类样本，每个分类面都将一类与其他所有的类分开-Classification algorithm with the separation of three types of sensor samples，Each category will face a class with all the other classes separately
ganzhiqi
- 感知器算法,用于感知器的计算，感知器指的是进行分类的线性判别函数，他们不需要考虑模式及的统计性质。-ganzhiqi duanfa
gzq
- 感知器算法，可以实现线性分类，中间步骤很详细，明确表示算法过程-Perception algorithm can achieve linear classification, an intermediate step in great detail, expressly algorithm process
1
- 双输入单输出系统 x1(1)=1 x2(1)=1 d(1)=1 x1(2)=-0.5 x2(1)=-1 d(1)=-1 x1(3)=3 x2(1)=1 d(1)=1 x1(4)=-2 x2(1)=-1 d(1)=-1 建立一个感知器网络，实现上述样本的分类，计算出相应的网络权值矩阵W-Dual-input single-output system x1 (1) = 1 x2 (1) = 1 d (1) = 1 x1 (2) =-0.5 x2 (1) =-1 d (1) =-
sensor
- 感知器算法是一种非监督的代数界面分类方法，算法结构简单，但对于团状数据，分类效果理想。-Algebraic classification sensor interface is an unsupervised algorithm, the algorithm is simple in structure, but for groups like the data, the ideal classification.
logical
- 运用感知器神经网络实现数字逻辑，逻辑与，逻辑或等，并可以结合bp神经网络。并可以做出误差图，分类图等。-Realization of digital logic, using the perceptron neural network logic and the logic or etc, and can be combined with BP neural network. And can make the error chart classification chart.
nn
- 自己根据理解写的小程序。实现神经网络感知器的分类功能。使用python。-Little program written by personal understanding.The function of neural perceptron network classification.Using Python.
dancengGZQ
- 单层感知器程序，主要用于分类或是诊断-Single-aware program, primarily used for classification or diagnostic
classification-Python
- python实现感知器、贝叶斯分类、决策树分类、K最近邻法、逻辑回归、支持向量机-Python implementation of perceptron, Bias classification, decision tree classification, K nearest neighbor method, logic regression, support vector machine
qiyiyangbenwucha
- 利用感知器和BP网进行模式识别的基本方法，分类线性不可分样本-The basic method of pattern recognition based on perceptron and BP net, the linear non separable sample
EXP2
- 利用Matlab神经网络工具箱中感知器函数对二维线性可分的样本进行正确分类。-Use Matlab neural network toolbox Perceptron dimensional linearly separable function correctly classified samples.
test
- 使用matlab] 利用神经网络单层感知器 对图像数字二值化进行判断分类 -Use matlab] single-layer perceptron neural network for digital image binarization judgment Categories
perceptron-algorithm-
- 通过感知器算法分类鸢尾花（三类分类），由于感知器算法是二类分类器，所以三类分类需要两两对比。-Classification of iris by perceptron algorithm (three classifications)Since the perceptron algorithm is a class 2 classifier, three classifications require a pairwise comparison.
神经网络
- 基于MATLAB编写的神经网络单层感知器分类(Neural network single layer perceptron classification based on MATLAB)
Rosenblatt_Perceptron
- 用MATLAB实现一个简单的分类器，对线性的点进行简单的分类。(Using MATLAB to implement a simple classifier, a simple classification of linear points.)
感知器算法Matlab源码
- 感知器算法Matlab源码。用于解决感知器分类的问题(Perceptron algorithm Matlab source code)
MLP_iris
- 一个简单的多层感知器实现鸢尾花数据的分类的代码(use mlp to realize the classification of Iris dataset)