搜索资源列表
ganzhiqi
- 用感知器算法分类一个随机生成的2维数据样本集,并画出线性判决函数(Using the perceptron to classify a simple randomly generated 2 dimensional data sample set)
perceptron
- ANN application is a popular in technology.
Perceptron
- 用MATLAB实现简单的分类器分类,对线性的点进行简单的分类。(Using MATLAB to achieve a simple classifier,Simple classification of linear points)
人工神经网络感知器
- matlab建立感知器。建立一个感知器,对感知器神经网络进行仿真.修正感知器神经网络.(The establishment of MATLAB sensor. The establishment of a sensor, simulation of the perceptron neural network. Modified perceptron neural network.)
机器学习常用方法
- 机器学习常用方法的python实现,包括PCA,随机森林,决策树,层次聚类,kmeans,KNN,线性感知机等(Python implementation of common machine learning methods, including PCA, random forest, decision tree, hierarchical clustering, kmeans, KNN, linear perceptron, etc.)
network1
- 应用人工神经网络的建模方法,采用多层感知器的模型结构,利用自适应学习速率的BP学习算法(The application of artificial neural network algorithm and the model structure of multilayer perceptron)
Lector_monedas_lavadero
- codigo en PIC C para una maquina lavadero
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.)
perception
- 多分类的感知器算法,包括Ho_Kashyap的mse实现(Multiple classification of perceptron algorithms, including the MSE implementation of Ho_Kashyap)
code
- 单层感知器(Single Layer Perceptron)是最简单的神经网络。它包含输入层和输出层,而输入层和输出层是直接相连的。(The single layer perceptron is the simplest neural network. It contains the input layer and the output layer, and the input layer and the output layer are directly connected.)
code2
- 线性神经网络和单层感知机非常相似,输入层、输出层甚至是误差迭代函数都相同,唯一的区别就是他们的传输函数不同(Linear neural network and single-layer perceptron are very similar. Input layer, output layer and even error iteration function are all the same. The only difference is their transmission function
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)
MATLAB神经网络
- MATLAB快速入门,单层感知器,线性神经网络,BP神经网络,反馈神经网络,随机神经网络,GUI设计神经网络等等(MATLAB quick start, single layer perceptron, linear neural network, BP neural network, feedback neural network, stochastic neural network, GUI design neural network and so on.)
MATLAB神经网络原理与实例精解
- MATLAB神经网络实例教程配套程序,包括感知器、BP神经网络等基本代码。(MATLAB neural network example tutorial matching program, including perceptron, BP neural network and other basic code.)
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
HK
- HK算法思想很朴实,就是在最小均方误差准则下求得权矢量. 他相对于感知器算法的优点在于,他适用于线性可分和非线性可分得情况,对于线性可分的情况,给出最优权矢量,对于非线性可分得情况,能够判别出来,以退出迭代过程.(The idea of HK algorithm is very simple, which is to obtain the weight vector under the minimum mean square error criterion. Compared with th
鸢尾花分类
- 使用四种方法进行鸢尾花分类:最小距离分类器,K 近邻法,感知器,Fisher 准则。(Four methods are used to classify iris: minimum distance classifier, K-nearest neighbor method, perceptron and Fisher criterion.)
perceptron.zip
- % 单层感知器 与、或、以及其他逻辑功能的实现 % 采用step逐步逐行运行方式,了解学习过程的细节 % 尝试重新定义程序中的T,观察感知器实现异或运算(T=1 0 1 0]的可能性。
machine_learning_python-master
- 通过阅读网上的资料代码,进行自我加工,努力实现常用的机器学习算法。感知机的基本形式和对偶形式的实现 Kmeans和Kmeans++的实现 EM GMM高斯混合和GMM+LASSO的实现 实现朴素贝叶斯的基本算法和高斯混合朴素贝叶斯算法 实现决策树的基本算法 实现adaboost基本算法 实现svm基本算法 实现逻辑回归基本算法(By reading the data codes on the Internet, we can process oursel
L2_1
- 编写一个名为Perce的函数,用它来实现感知器算法。 函数的输入/输出有: (a)一个N*d维的矩阵X,它的第i行是第i个数据向量; (b)一个N维列向量y,y的第i个元素包含了类(-1,1),并且该类与相应的向量相互对应; (c)用向量w_ini初始化参数向量;并且返回估计参数向量; 假设函数最大迭代次数为10000。(Write a function called Perce to implement perceptron algorithm. The input / out