搜索资源列表
The-adaptive-Neural-Network-
- 基本上实现这些类型的神经网络: 自适应线性网络(ADALINE) 多层多层感知器网络 广义径向基函数网络 动态细胞结构(DCS)网络与高斯或圆锥形的基础功能-There are blocks that implement basically these kinds of neural networks: Adaptive Linear Networks (ADALINE) Multilayer Layer Perceptron Networks Generalized
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.
Example3.2
- 与感知器相关的编程,希望对要用这个的人有帮助吧-The perceptron programming, use this.
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
perceptron-algorithm
- 固定增量单样本感知器算法实现(样本服从正态分布)-Fixed increment single sample perceptron algorithm (sample is normal distribution)
zuoye2
- 感知器分类作业,将200个二维样本分成两类-Sensor classification operations, 200 two-dimensional samples divided into two categories
shenjingwangluo
- 感知器神经网络分类,简单的感知器,希望对大家有帮助。-Perceptron neural network classification of simple perception, helpful to everyone.
ganzhiqi
- 单层感知器分类和权值调整过程,学习率分别为0.01 0.05 0.1 0.5-Single layer perceptron device classification and weights to adjust the process
ganzhiqi_newp
- 使用matlab 感知器工具箱函数newp编写单层感知器文件,模式识别作业-Use the matlab perception toolbox function newp the preparation of single-layer perceptron file, pattern recognition operations
ganzhiqi
- 线性分类器感知器设计算法程序,其中利用了低度下降算法-Linear classifier perceptron design algorithm procedures, which use low-degree descent algorithm
sense
- 模式识别中的感知器源码实现-Pattern recognition of sensor source to achieve, only a reference
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
neuron-perceptron
- 设计单一及多个神经元的感知器、BP神经网络。文件a1.m是一个神经元,a2.m是两个神经元,test36.m是bp神经网络。 -Design of single and multiple neuron perceptron, BP neural network. The file a1.m a neurons a2.m, two neurons the test36.m bp neural networks.
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!
Number-odd-or-even
- 采用人工神经网络单层感知器学习算法,实现数字0-9的奇偶识别-The single-layer perceptron of artificial neural network learning algorithm, to achieve parity identification numbers 0-9
target-context-detect-recognition
- 在分类器的研究方面,提出了一种改进的AdaBoost算法,包括距离相关的判别准则,和基于核的感知器强分类器优化方法 -Classifier, there is proposed an improved AdaBoost algorithm, including the distance related criterion optimization method, and the strong classifier is based on the perception of the nucle
Improved-ICA-character-recognition
- 该算法一种结合改进的基于独立分量分析(ICA)提取算法和基于多层感知器和单向二叉决策树的多类支持向量机分类方法。-The algorithm is a combination of improved based on independent component analysis (ICA) algorithm and multi-class support vector machine classification method based on binary decision tree of
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