搜索资源列表
Delta
- 神经网络感知器学习规则：Delta学习规则。采用Delta学习规则，进行权值调整，阈值变换函数采用双极性连续函数。程序简单易懂，希望对大家有所帮助！-Neural network perceptron learning rule: Delta learning rule. Delta learning rule used to carry out the right to adjust the value of the threshold bipolar transfer function us
bp_algorithm_matlab
- 基于MATLAB的多层感知器神经网络BP算法的源程序-MATLAB-based multilayer perceptron neural network algorithm source code
neuralnetworklearningalgorithm
- 人工神经网络感知器的误差学习算法，实现单层感知器的学习算法-Artificial neural network-aware device error learning algorithm, to achieve single-layer perceptron learning algorithm
nnp
- 一个神经网络原型代码，针对的例子为《Perceptron Learning》 (Russell & Norvig， 第742页)-A neural network prototype code, for example for
PR_Perception_Approach
- 模式识别中的线性感知器算法 通过了测试-Pattern Recognition linear perceptron algorithm passed the test
programslms
- ％For the following 2-class problem determine the decision boundaries ％obtained by LMS and perceptron learning laws.- For the following 2-class problem determine the decision boundaries obtained by LMS and perceptron learning laws.
11
- 神经网络实例集。包括以下几个程序单层线性神经网络实例、感知器神经元解决较复杂输入向量的分类问题、基于感知器神经网络处理复杂的分类问题、数值分析程序matlab-GUI、用BP网络完成函数的逼近源程序、自组织特征映射应用实例-Examples of neural network sets. Procedures include the following examples of single-layer linear neural network, perceptron neuron input
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
ganzhiqi
- 感知器的MATLAB实现，现在很好的啊，请大家-Perceptron MATLAB realized, ah good now, please
neure
- 十分简单的感知器实现，自己编写，加深对神经网络的了解，面向对象，虽然简单，但对神经网络的初学者还是有参考价值的-Very simple perceptron realized, I have written to enhance understanding of the neural network, object-oriented, although simple, but for a beginner or a neural network reference value
masotti_MLP_Classificazione
- 多层感知器的分类程序! -Multi-layer perceptron classification procedures!
net1
- 单层感知器人工神经网络，可以用来解决线性可分的模式识别问题-Single-layer perceptron artificial neural network, can be used to solve linear pattern recognition problems can be divided into
FisherETC
- Fisher, Pseudoinverse, Perceptron, Relaxation, Ho-Kashyap and LMS method for pattern classification
ex3
- 基于BP神经网络识别字符. BP神经网络算法是把一组样本输入输出问题转化为一个非线性优化问题，并通过梯度算法利用迭代运算求解权值的一种学习方法。采用BP网络进行分类，并附加线性感知器来实现单字符的有效识别，算法简便，识别率高，可适用于多种高噪声环境中的印刷体字符识别。-BP neural network based character recognition. BP neural network algorithm is a set of sample input and output is
problem2
- matlab 感知机实验源码（神经网络课程实验一）-Perceptron test matlab source
FLCH3eg1
- 采用单神经元结构对两类样本进行分类，其中X为输入样本，T为目标向量。X=[-0.5,-0.5,0.3,0.1,-0.1,0.8,0.2,0.3 0.3,-0.2,-0.6,0.1,-0.5,1.0,0.3,0.9] T=[0,0,0,1,0,1,1,1]- The self learning function of the multilayer perceptron of an artificial neural network can be easily realized by the
OneLayerPerceptronClassifier
- A simple One layer perceptron classifier written in CSharp and using the AForge framework
MLPforAdaptivePostprocessingBlockCoded
- A new technique basedon the multilayer perceptron (MLP)neural network is proposed for blocking-artifact removal inblock-coded images.The new method is basedon the concept of learning by examples.
Perceptron
- Single Layer Perceptron in C.
Perceptron
- Perceptron neural network written in c-Perceptron neural network written in c++