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GanZhiQi
- 感知器算法，模式识别常用的一种实例 主要是实例实现
ganzhiqi
- 模式识别分类器，本代码是感知器，训练数据在压缩包的fisher1.txt中
ganzhiqi
- 感知器网络的matlab源代码，欢迎下载
ganzhiqi
- 模式识别中关于感知器算法的程序,输入点进行聚类.-pattern recognition algorithm on the perception of the process, input cluster.
ganzhiqi
- 模式识别中关于感知器算法的程序,输入点进行聚类.-pattern recognition algorithm on the perception of the process, input cluster.
GanZhiQi
- 感知器算法，模式识别常用的一种实例 主要是实例实现-Perceptron algorithm, pattern recognition of a commonly used example is the example of the realization of the main
ganzhiqi
- 模式识别分类器，本代码是感知器，训练数据在压缩包的fisher1.txt中-Pattern recognition classifier, this code is the perceptron, the training data in the compressed package in fisher1.txt
ganzhiqi
- 感知器网络的matlab源代码，欢迎下载-Perceptron network matlab source code, welcome to download
ganzhiqi
- 感知器的MATLAB实现，现在很好的啊，请大家-Perceptron MATLAB realized, ah good now, please
ganzhiqi
- 人工神经网络 感知器 matlab -Perceptron artificial neural network matlab
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.
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
ganzhiqi
- 感知器算法,用于感知器的计算，感知器指的是进行分类的线性判别函数，他们不需要考虑模式及的统计性质。-ganzhiqi duanfa
ganzhiqi
- 模式识别里的感知器算法，基于分类应用，校正方法是最优化技术中的梯度下降法。-Inside the sensor pattern recognition algorithm, based on classification applications, calibration method is the optimization of the gradient descent.
ganzhiqi
- 自己编的感知器算法，不是很复杂，希望对别人有用。VC环境测试ok-Its own series of sensor algorithm is not very complex and I hope be useful to others. VC Environmental Test ok
ganzhiqi
- 感知器算法(主要用于PR),也可以用于图像处理等方面-the PR using or the image procceing
ganzhiqi
- 这个程序也很不错哟，大家赶快来下载吧，是模式识别中的感知器算法-This procedure is also very good yo, we hurry to download it, is a pattern recognition algorithm for the perceptron
ganzhiqi
- 使用感知准则进行分类（数据为线性可分的两类）-Perceptual criteria used to classify (the data for the linear separability of two)
ganzhiqi
- 2.训练结果 最终误差：0 迭代次数：8 最终权值：2.6416 1.3022 最终阈值：3.1000 误差收敛曲线 -ganzhiqi