搜索资源列表
demo
- 印刷体汉字识别，VC++。包括汉字的特征提取，分类器的设计，选用人工神经网络等方法。-Printed character recognition, VC++. Including Chinese characters feature extraction, classifier design, selection of artificial neural networks and other methods.
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.
SVM-neural-networks-
- SVM神经网络中的参数优化 -如何更好的提升分类器的性能 绝对可以无错运行-SVM neural network classifier parameter optimization performance improvement - how to better the absolute can be error free operation
SOMShenJingWangluoFenLei
- SVM神经网络中的参数优化 -如何更好的提升分类器的性能 绝对可以无错运行-SVM neural network classifier parameter optimization performance improvement - how to better the absolute can be error free operation
ElmanShenJingWangluoYuCe
- SVM神经网络中的参数优化 -如何更好的提升分类器的性能-SVM neural network classifier parameter optimization performance improvement- how the better
Perceptron
- 这是一个单层感知器的神经网络程序，用来进行分类的，程序经过修改优化，精简清晰。-This is a single layer perceptron neural network program, to be classified, the program has been modified to optimize, streamline and clear.
NNLM1
- 神经网络与机器学习第一章：感知器分类半月形数据-Neural Networks and Machine Learning Chapter I: Classification meniscus sensor data
TextureClassification-master
- matlab实现文本分类，内含两个分类器，主要采用线性回归和神经网络-Matlab achieve text classification, containing two classifiers, mainly using linear regression and neural network
Pattern
- 介绍了模板匹配分类器，Bayes分类器，线性函数分类法，非线性函数分类法和神经网络分类法的代码算法，用于识别数学0到9-It describes the template matching classifier, Bayes classifier, a linear function of classification, non-linear function and neural network classification taxonomy code algorithm for identi
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.
BP_Classifier
- 用MATLAB实现的简单分类器，算法为BP神经网络，为监督学习，需要训练集（文件中附有训练集，供测试用），分类效果较好。-This program creates a Classifier to identify the gender by height and weight based on BP network.
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
BPrengongshenjingwangluo
- 人工神经网络的仿真 分类器 BPwangluo-rengongshenjign wangluo fenleiqi
BPtest
- 利用人工神经网络作为分类器，对输入的EMG信号进行模式分类。-pattern recognition
Compression-perception-algorithm
- 神经网络故障诊断，基础贝叶斯分类器，有向图的画法和应用。-Compression perception algorithm
AM
- 利用流形学习算法结合小波算法，BP神经网络作为分类器，实现了对三部参数不同的AM电台个体识别，仿真效果良好。实验证明该方法对幅度的轻微变化敏感，可以作为通信信号分类识别的参考程序-Simulations of identification if 3 AM radios, based on manifold learning method , Wavelet and BP.
BP-NN-realization-categorizes
- BP网络实现分类问题；一，问题的提出；根据感知器的的相关理论易知感知器善于解决线性可分；反向传播网络（Back-PropagationN；一个具有r个输入和一个隐含层的神经网络模-The BP network realization categorizes a problem A, the problem puts forward Knows a machine according to the feeling of of the related theory easy to underst
BP-Adaboost
- BP-Adaboost模型即把BP神经网络作为弱分类器，反复训练BP神经网络预测样本输出，通过Adaboost算法得到多个BP神经网络弱分类器组成的强分类器。-The BP-Adaboost model uses BP neural network as weak classifier to repeatedly train BP neural network to predict the sample output. Adaboost algorithm is used to obtain a
ANN
- 用两层神经网络实现的分类器，一个小demo,随机产生数据并分类-Neural network of two layers is used to implement data classifier, a small demo
SVM
- SVM神经网络中的参数优化 -如何更好的提升分类器的性能-The SVM parameters optimization of neural network- how to better improve the performance of the classifie