搜索资源列表
K-means-and-Perceptron
- 该程序为matlab程序，共有三个文件，dataC.m为程序入口，实现功能对50组数据用k均值算法进行分类，再对40组数据用感知器算法训练，然后用训练得到的判别函数对剩下10组数据分类，最后与原始分类做差比较，若分类无误，则全显示为0.-Matlab program on the program, a total of three files dataC.m for program entry features 50 sets of data with k-means algorithm to
perceptron-Cpp
- 单层感知器算法，用于实现线性分类的重要算法-Single-layer perceptron algorithm
Perceptron_Function
- 感知器算法，利用C语言实现。利用梯度下降法进行迭代求解。-Perception algorithm, using C language, that is, we usually write operations, to share with you. . . .
Perceptron-Approach-with-matlab-
- 用matlab软件编写感知器算法，实现对样本的分类，样本点为X1(0，0)，X2(0，-1)，X3(-1，0)，X4(-1，-1) -Perceptron Approach with matlab
classifer
- 二分类问题采用包括逻辑回归、最小二乘法、感知器算法（按下space不断迭代）、svm线性分类，另外还有高斯分线性分类（待完善），针对平面上两类点进行分类-Second classification using logistic regression, the method of least squares, perception algorithm (Press space iteratively) svm linear classification, in addition to the Ga
C
- 模式识别中的感知器算法，是基于三维的。算法简单易懂。-Perception algorithm in pattern recognition, which is based on three-dimensional.
Perceptron-Algorithm
- 模式识别是对样本进行聚类，感知器算法是通过迭代计算修正权向量，使样本满足条件，从而实现分类。本程序对感知器算法进行了改进，当权向量不满足时，立即退出此轮计算，进入下一轮迭代，从而减少了计算次数。程序对代码有详细注释，对样本的个数和维数自动判别。-Pattern recognition, clustering samples, perception algorithm is iterative correction weight vector samples meet the conditions
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
perception_two
- 对两类的问题采用感知器算法进行分类，该方法能够有效的计算出代价函数-Two types of problems with the perception algorithm for classification, this method can effectively calculate the cost function.
pattern-recognizer
- 用matlab软件编写感知器算法，实现对样本的分类，样本点为X1(0，0)，X2(0，-1)，X3(-1，0)，X4(-1，-1) X1,X2属于第一类，X3、X4属于第二类；（编程） X1、X4属于第一类，X2，X3属于第二类；（计算）-Perceptron Algorithm matlab software, to achieve the classification of samples, sample points X1 (0,0), X2 (0,-1), X3 (-1,0
perceptron
- 模式识别-梯度下降法特例的感知器算法的Matlab实现，实现两类线性分类。-Pattern-Recognition，The perceptron algorithm based on MATLAB
perception-algorithm
- 模式识别中的经典算法，感知器算法在matlab中的编程实现-The classic pattern recognition algorithms, perception algorithm in matlab programming
ganzhiqi
- 测试智能信息处理课程实验，感知器算法，用matlab实现，-Experimental tests of intelligent information processing course,Perceptron algorithm, matlab
Linear-classification
- 基于感知器算法的线性分类实例，对鸢尾花Iris数据进行两两分类-Linear classification based on perceptron algorithm to the data of Iris
ganzhiqi
- 感知器算法的基本思想是，对初始的或迭代中的增广权矢量 ，用已知的训练模式检验它的合理性，当不合理时，对其进行校正，校正方法实际上是最优化技术中的梯度下降法，上传的是用matlab解决感知器问题。-The Perceptron Algorithm The basic idea augmented weight vector of the initial iteration, the known training mode to test it reasonable, unreasonable, i
matlab
- 本代码是针对于感知器算法应用于肾炎诊断上面的小程序，可以对患者身体内的元素进行判断，进而确定患病患者编号。-This code is targeted at Perceptron algorithm is applied to the above applet nephritis diagnosis, the patient can determine the elements within the body, and to determine the prevalence of patient
Perceptron-Approach
- 已知两类训练样本为 设 ,用感知器算法求解判别函数，并绘出判别界面。-Known types of training samples set, with the Perceptron Algorithm discriminant function, and draw the discriminant interface.
Pattern-recognition
- 模式识别中两个重要的算法：感知器算法和最大最小距离算法的实现-Two important algorithms in pattern recognition: the realization of the perceptron algorithm and maximum minimum distance algorithm
ganzhiqisuanfa
- 介绍感知器学习算法及其变种，给出各种感知器算法的伪代码，指出各种算法的优点。给出感知器算法在线性可分和线性不可分 情况下的误差界定理，讨论各种感知器学习算法的误差界理论，给出各种算法的误差界。介绍感知器学习算法在在线优化场景、强化学习 场景和赌博机算法中的应用，并对未解决的问题进行讨论。-The perceptron learning algorithm and its variants, pseudo code is given a variety of perceptron algo
stu_release_test
- matlab实现的线性分类器，采用了感知器算法，和聚类算法。-matlab achieve linear classifiers using the perception algorithm, and clustering algorithms.