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ganzhiqi
- 测试智能信息处理课程实验，感知器算法，用matlab实现，-Experimental tests of intelligent information processing course,Perceptron algorithm, matlab
Linear-classification
- 基于感知器算法的线性分类实例，对鸢尾花Iris数据进行两两分类-Linear classification based on perceptron algorithm to the data of Iris
perception_
- 是用神经网络中的感知器进行分类的程序，并给出了图形显示的结果-A program to classify with the perceptron in the NN,and the result is given in the form of chart.
moshishibie
- 对X应用贝叶斯分类，对X的前两类训练单层感知器-The classification of X application of Bias，on the X of two kinds of training single-layer perceptron
ganzhiqi
- 感知器算法的基本思想是，对初始的或迭代中的增广权矢量 ，用已知的训练模式检验它的合理性，当不合理时，对其进行校正，校正方法实际上是最优化技术中的梯度下降法，上传的是用matlab解决感知器问题。-The Perceptron Algorithm The basic idea augmented weight vector of the initial iteration, the known training mode to test it reasonable, unreasonable, i
power
- 基于平移不变小波变换的电力时间序列预测，结合多层感知器（MLP）神经网络， 预测精度很好。-Electricity demand time-series forecasting program Based on shift-invariant wavelet transform features
final2cop
- matlab用bp神经网络分类信号，采用多层感知器的神经网络，有隐含层5个节点-matlab bp neural network classification signal, the use of Multilayer Perceptron neural network hidden layer nodes
ganzhiqi
- 感知器程序 感知器的分类器的设计 matlab程序-Perceptron procedure perceptron classifier design matlab program
matlab
- 本代码是针对于感知器算法应用于肾炎诊断上面的小程序，可以对患者身体内的元素进行判断，进而确定患病患者编号。-This code is targeted at Perceptron algorithm is applied to the above applet nephritis diagnosis, the patient can determine the elements within the body, and to determine the prevalence of patient
ganzhiqi1
- 感知器实现模式分类的功能,将两类模式类进行准确分类-Sensor functions to achieve pattern classification，the two models to accurately classify class
Exercise4
- 程序实现设计一单一感知器神经元以及采用神经网络拟合奇异函数。压缩包中还包含相关的参考资料。-Design a program to achieve a single sensor neurons and neural networks fitting singular function. Compressed package also contains the associated reference materials.
Perceptron-Approach
- 已知两类训练样本为 设 ,用感知器算法求解判别函数，并绘出判别界面。-Known types of training samples set, with the Perceptron Algorithm discriminant function, and draw the discriminant interface.
PerceptronLearningRule_2
- 單個感知器神經元學習程序.当被分类的模式线性可分时，单神经元可对所有模 式正确分类。-Single neuron perceptron learning process when the linear model can be classified timeshare, single neuron can correctly classify all modes.
ZIP-
- 感知器网络学习很好很强大elta学习算法为单层感知器网络学习算法，Roseblatt的推导证明，如果-Perceptron learning
Pattern-Recognition2
- 清华模式识别第二次作业，采用dataset2.txt 数据作训练样本，采用身高与体重特征进行性别分类，建立最小错误贝叶斯分类器；2、采用身高体重数据作为特征，以 dataset2.txt 作为训练数据，用 Fisher 线性判别方法设计分类器；3、从多层感知器、SVM、近邻法选择一种方法，进行上述的分类实验；-Tsinghua second operation pattern recognition using dataset2.txt data for training samples, us
1
- 神经网络感知器 C语言实现 神经网络算法基础-Perceptron neural network C language-based neural network algorithm
ganzhiqi2
- 3、单计算节点感知器，3个输入。给定3对训练样本对如下所示： X1 = (1，-2，0，-1) ，d1 =-1；X2 = (0，1.5，-0.5，-1)，d2 = - 1；X3 = (-1，1，0.5，-1)，d3 =1； 设初始权向量W(0)=(0.5,1,-1,0.5)，2η=0.1。注意，x第四列为阈值恒等于-1，权向量中第后个分量为阈值，试根据以上学习规则训练该感知器。 -3, a single compute node sensor, three inputs. Given
science-library
- 关于神经网络在信号处理中的应用,包括感知器，BP各种网络-About Neural Networks in Signal Processing
Pattern-recognition
- 模式识别中两个重要的算法：感知器算法和最大最小距离算法的实现-Two important algorithms in pattern recognition: the realization of the perceptron algorithm and maximum minimum distance algorithm
ganzhiqisuanfa
- 介绍感知器学习算法及其变种，给出各种感知器算法的伪代码，指出各种算法的优点。给出感知器算法在线性可分和线性不可分 情况下的误差界定理，讨论各种感知器学习算法的误差界理论，给出各种算法的误差界。介绍感知器学习算法在在线优化场景、强化学习 场景和赌博机算法中的应用，并对未解决的问题进行讨论。-The perceptron learning algorithm and its variants, pseudo code is given a variety of perceptron algo