搜索资源列表
BACKPROP
- 经典的B-P算法,还包括其它一些程序，比如一个前馈多层感知器算法
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
bp1
- 利用BP算法，设计一个多层感知器为表中的数据集提供一个非线性逼近，并测试其泛化能力。-BP algorithm is used to design a multi-sensor data sets for the table to provide a non-linear approximation, and to test its generalization ability.
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
perceptron.tar
- 用c++写的感知器简单试验算法。欢迎下载使用-Written by c++ algorithm for sensor testing.
PR
- 实现感知器算法以及Kmean算法进行模式识别-Perceptron Algorithm Implementation and Kmean pattern recognition 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. . . .
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
moshishibie
- C# 模式识别作业 最大最小距离算法（可以实现鼠标收入） 感知器-C# pattern recognition operating the largest minimum distance the algorithm (mouse income) sensor
12
- 关于人工神经网络中感知器的matlab算法-The matlab algorithm is on artificial neural network sensor
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
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.
PA
- 感知器算法的完整程序，包括程序解释,最后效果不错，误差小，鲁棒性好。-Perception complete program machine algorithms, including data generated, the corresponding code interpreter
ganzhiqi
- 模式识别中的感知器算法，可绘制两个类别点的判决直线-In pattern recognition, the perceptron algorithm can draw a straight line of two 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.
code
- MATLAB神经网络原理与实例精解中第4章 单层感知器的算法-MATLAB neural network theory and examples of the fourth chapter in the single-layer perceptron algorithm
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)
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