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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
secondtypelearning
- 借助最优控制理论中的二次型性能指标对感知器神经网络的加权系数进行调整-Optimal control theory with the quadratic performance index of the perceptron neural network to adjust the weighting coefficients
ganzhiqi
- 人工神经网络 感知器 matlab -Perceptron artificial neural network matlab
chapter5_45
- 这是模式分类一书中第五章的固定增量感知器和带裕量的变增量感知器的matlab代码实现。-This is the pattern classification of a book chapter V and the fixed-increment perceptron with margin perceptron incremental change of the matlab code.
BPIdentifyNum
- BP神经网络三层感知器数字识别系统 可以识别0-9这个十个数字-BP neural network to identify the number of three-sensor system to identify the dozens of figures 0-9
GanZhiQi
- 此为利用感知器规则编写的神经网络源码，平台为VC.-The rules for the use of perceptron neural networks prepared source, platform for the VC.
20082050
- 用matlab写的感知机,SES,SVM三种分类器，简单易懂，适合初学者-Written by matlab perceptron, SES, SVM three kinds of classifiers, easy to understand for beginners
Continuous-multi-output-Perceptron-Training-Algori
- 连续多输出感知器训练算法的实现 利用c语言实现-Continuous multi-output Perceptron Training Algorithm
ANN
- 用感知器实现或功能的M文件，MATLAB中运行正确，-ANN
assignment
- matlab实现ADALINE神经网络和感知器神经网络学习训练及应用-matlab neural network realization of ADALINE neural network learning and perception, training and application of
bp1
- 利用BP算法，设计一个多层感知器为表中的数据集提供一个非线性逼近，并测试其泛化能力。-BP algorithm is used to design a multi-sensor data sets for the table to provide a non-linear approximation, and to test its generalization ability.
annexamples
- 很多神经网络的应用程序：如感知器，自适应线性元件，BP网络，霍普菲尔德网络，竞争网络...适合初学者。-Many neural network applications: such as sensor, adaptive linear element, BP network, Hopfield networks, competitive networks ... suitable for beginners.
ganzhiqi
- 用感知器分类算法分离三类样本，每个分类面都将一类与其他所有的类分开-Classification algorithm with the separation of three types of sensor samples，Each category will face a class with all the other classes separately
classify
- 用感知器分类算法和最近邻分类算法对三类点进行分类，具有窗口界面，用鼠标点击就可以了，程序自动给出分类界面。-Classification algorithm with the sensor and the nearest neighbor classification algorithm to classify three categories of points, with the window interface, with a mouse click can be had, the pro
Mlmfc_Perception
- 包含神经网络感知器算法的MFC程序，可以可视化，有具体的例子在单文档窗口中显示数据点和算法结果。-Contains the neural network perceptron algorithm MFC program, you can visualize, there are one specific example in a single document window displays the results of data points and algorithms.
Perceptron
- 模式识别线性判别函数,感知器算法分类.利用OpenGL绘图显示三维坐标-Linear discriminant function, pattern recognition, perceptron algorithm for classification. The use of OpenGL graphics display three-dimensional coordinates
perceptron
- 构造一个基于感知器学习算法的神经学习系统利用一编程语言建立一个基于感知器/BP学习算法的神经学习系统。-Construct a perceptron learning algorithm based on neural learning system using a programming language to build a device based on the perception/BP learning algorithm for neural learning system.
Perceptron
- 神经网络感知器学习规则：Perceptron学习规则。以三个样本为一个周期对神经网络进行训练，本程序共经历三个周期共九次训练，九次训练后期望输出和实际输出相等，满足终止条件，训练结束。这是自己的课堂实验，希望对大家有所帮助。-Perceptron learning rule neural networks: Perceptron learning rule. With three samples for a period of neural network training, the progr