搜索资源列表
Perceptron
- matlab语言编写的iris数据的单层感知器分类-matlab data written in a single layer perceptron iris classification
The-Modulated-Wideband-Converter-
- 基于宽带调制转换器的一种新的压缩感知技术-Matlab package that simulates sampling by the analog system. The MWC consists of an RF front-end whose intermediate nodes are non-bandlimited signals. In this setting, computing the samples that would have been obtained by the ha
ganzhiqishixian
- 用MATLAB实现感知器算法，智能优化实验-Perceptron Algorithm with MATLAB implementation, intelligent optimization experiments
ganziqifenlei
- MATLAB实现感知器操作，用于智能优化实验-MATLAB realization of sensor operation, intelligent optimization experiments for
PerceptronApproach
- 完全自己编写的模式识别中感知器的Matlab算法实现-Complete preparation of their own pattern recognition perceptron algorithm in Matlab
four
- 基于matlab语言，利用BP神经网络设计一个感知器，对输入进行分类-Based on the matlab language, the use of BP neural network to design a sensor, the input classification. .
ganzhiqi
- 神经网络感知器模型程序，可以对现行可分系统进行分类。用matlab实现。另附BP算法文档。-Neural network sensor model program that can be divided into the current classification system. Using matlab. BP algorithm attached document.
Kuschner-BayesianNetwork-feature
- Kuschner论文，贝叶斯网络方法在质谱数据特征选择。其中关于机器学习中贝叶斯分类器部分有完整原理分析，可以用于认知无线电网络的频谱感知等新领域。含有matlab程序大于100页，子函数很多。-Kuschner paper, Bayesian network methods of feature selection in mass spectrometry data. One of the Bayes classifier machine learning part of a complete
a
- 用matlab编程实现单层感知器的实验。对线性可分问题提供了一种较好的解决方案。-it is a very useful experiment.
sensor
- 这是一个用matlab编的用感知器识别土壤类型的代码-matlab soil type sensor
BP_final
- 多层感知器MLP网络以及BP算法，实现了对非线性函数的逼近，matlab进行编程-failed to translate
ganzhiqi_g7
- 基于感知器的iris数据集分类算法，matlab实现，有注释。-Classification algorithm based on the iris data set of the perceptron, the Matlab implementation, and comment.
perceptron
- matlab编写的感知器算法，实验数据为Iris，运行良好！-Matlab prepared perception algorithm, the experimental data for the Iris, a good run!
elligent-control
- 使用matlab不依靠库函数编写的BP网络，多层感知器，以及利用BP网络做的函数逼近。-Use matlab not rely on library functions of BP network to write, multi-layer perceptron, and the use of BP network do function approximation.
Example3.3
- 与感知器相关的matlab编程，希望对要用这个的人有帮助吧-The perceptron programming, use this.about matlab
Example3.4
- 与感知器应用相关的matlab编程，希望对需要的人有帮助，可以qq联系我-Application with the perceptron matlab programming, hoping to help those who need it, can qq contact me
FIG002
- Rosenblatt感知机Matlab实现算法线性分类器的第一个迭代算法是1956年由Frank Rosenblatt提出的. 这个算法被提出后, 受到了很大的关注. 感知器在神经网络发展的历史上占据着特殊的位置: 它是第一个从算法上完整描述的神经网络. 在20世纪60年代和70年代, 受感知器的启发, 工程师, 物理学家以及数学家们纷纷投身于神经网络不同方面的研究. -Rosenblatt perceptron Matlab algorithm linear classifier, an
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
ganzhiqi_shuzi
- 神经网络中的感知器代码模板！之后我会传一些matlab的程序，希望能与大家一起学习！-hope you will see it!
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