搜索资源列表
LeastSignificantBit_Embed_Program
- DCT域的嵌入程序，可以获得较高的鲁棒性，且嵌入秘密信息后的不可感知性也很好。-DCT embedded procedures, get higher robustness, and secret information embedded in the perception is also not very good.
gzj
- 在VC++上实现感知机的神经网络算法，可自动设置神经元个数。-in VC achieve perceptron neural network algorithm that can automatically set neuron number.
PerceptionApproches
- 感知器和其他聚类算法，如lmse。另外还包含了更多的比如c均知法，各种简单的非监督据类程序，有利于直接使用-Perceptron and other clustering algorithms, such as lmse. It also includes more like c all know, a variety of simple non-supervisory category According to procedures, it will directly use
myworkonnnet
- 多层感知器(MLP)(BP算法训练)、径向基函数网络(RBF网络)、支持向量机(SVM)对2D Mexican Hat、Gabor、Friedman 以及Polynomial等几种函数数据集进行回归和预测-multilayer perceptron (MLP) (BP algorithm training), RBF network (RBF), Support Vector Machine (SVM) to 2D Mexican Hat, Gabor, Friedman Polynomial
percept
- 感知器的VC实现#include \"percept.h\" #include \"stdio.h\" #include \"stdlib.h\"-perception of VC# include "percept.h" # include "stdio.h" # include "stdlib.h"
ganzhiqi_s200502106
- 模式识别-基于感知函数准则的线性分类器设计，完全自编代码，有详细说明。-pattern recognition-based perceptual function criteria for the classification of linear design, completely writing code is described in detail.
87564grace
- 用matlab完成感知准则函数确定程序的设计，写出准则函数，详细说明实验原理。-using Matlab perceptual function for the completion of the procedures for determining the design, write guidelines function, detailed experimental principle.
percept1
- 多个感知器神经元的分类问题 ％四类输入向量-many neurons in the classification of four input vector%
percept2
- 奇异样本对感知器神经网络训练的影响,分三部分:创建感知器神经网络,训练该感知器神经网络,验感器神经网络-singular sample perceptron neural network training, the effects of three parts : creating perceptron neural network, training the perceptron neural network, neural networks autopsy sensilla
matsource
- 芯片一旦进入摄像头视场,则能被系统感知,系统会开始对该芯片进行自动跟踪,确保ROI区域始终包含芯片,从而缩小了待...系统使用图4所示的方法提取特征量。其中有图像平面上纵、横、斜交叉的20条直线,这20条直线分别标记上1～20的序号... -chip camera field of view, the system will be perceived. the system started automatically tracking chips to ensure that the
n1
- 感知器神经网络设计举例：将四个输入矢量分为两类，其中两个矢量对应的目标值为1，另两个矢量对应的目标值为0,用学习函数求解. -perceptron neural network design, for example : four input vector divided into two categories. two vector corresponding to a target, and the other two vector corresponding to the target
gzqsf
- 感知器算法,通常用于模式识别中.使用DELPHI 7 编制.-perception algorithm, usually for pattern recognition. Using Delphi 7 establishment.
pointsclassify
- 用于模式识别分类，有C均值算法、HK算法以及感知器算法-for the classification, C-means algorithm, HK algorithm and Perceptron Algorithm
perceptron_test
- 神经网络中的感知机的学习算法的c语言程序源代码-neural network of Perceptron learning algorithm in C language source code
PerceptionCLassify
- 感知机分类算法用于文献分类,基于BP神经网络的基本算法-Perceptron classification algorithm for Literature Classification, based on BP neural network algorithm
bp_feel_classification
- 此为BP感知神经分类器,自己写的.有须要的请下载,很不错的.-this perception of BP neural classifier himself wrote it. The need to please download, very good.
ganzhi
- 感知器算法的matlab实现，欢迎大家指点-Perceptron Algorithm Implementation of Matlab, we welcome guidance
percep
- 感知器网络的几个例子 都试过的，不错 包括分类 学习 等-perceptron network had tried several examples, including a breakdown good learning
ANN-adaptive-whu
- 人工神经网络感知器源码，方便了初学者试验模拟，让初学者初步认识神经网络的应用价值-ANN perceptron source and make it easier for the beginners test simulation Let beginners preliminary understanding of the neural network application
1060339061_hw1
- 多个感知器分类,属于人工智能的神经网络的 -number perceptron classified into artificial intelligence neural network