搜索资源列表
感知器神经元解决较复杂输入向量的分类问题
- 感知器神经元解决较复杂输入向量的分类问题-Perceptron neurons to solve more complex input vector classification
基于感知器神经网络处理复杂的分类问题
- 基于感知器神经网络处理复杂的分类问题-based perceptron neural network to handle complex classification problems
利用双层感知器神经网络处理线性不可分的分类问题
- 利用双层感知器神经网络处理线性不可分的分类问题-use double perceptron neural networks to handle non-linear classification
模式识别的经典算法之一，感知器算法，用来对模式进行分类，采用matlab编写
- 模式识别的经典算法之一，感知器算法，用来对模式进行分类，采用matlab编写
PA.感知器算法分类数据，画出决策面
- 感知器算法分类数据，画出决策面。使用matlab编写，感兴趣的可以看看！,Perceptron Algorithm
Classify.rar
- 感知器学习与分类的6个小程序，附带详细讲解,Perceptron learning and classification procedures six small, fringe detail on
Perceptron_Function
- 基于感知器算法的线性分类程序，matlab实现。-Perceptron-based algorithm of linear classification procedures, matlab realize.
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
juleihefenlei
- 对一组样本通过C-means算法进行聚类分析，然后对聚类结果用感知器算法进行分类，是模式识别课程的实验。-Samples of a group through the C-means cluster analysis algorithm, and then the results of the clustering algorithm used to classify perceptron is a pattern recognition course experiment.
ganziqifenlei
- 采用神经网络感知器算法对给定的两类样本进行分类,效果显著!-Perceptron neural network algorithm for a given two types of samples for classification, a significant!
recognition
- 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 prog
pattern
- 模式识别里面的感知器算法,对地物分类,利用判别向量,实现判别函数-pattern recognition sensing class things
perceptronexample
- 感知器分类的一个例子，分成两类的分类器,用MATLAB实现-perceptron example for matlab
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.
感知分类器的MATLAB仿真源代码
- 感知器数据分类 MATLAB源代码实现 机器学习(classification machine learning)
神经网络
- 基于MATLAB编写的神经网络单层感知器分类(Neural network single layer perceptron classification based on MATLAB)
jiou
- 通过双层感知器来分辨1至9的奇偶数，输出为10 表示结果为偶数，输出为01表示结果为奇数(Discriminate the odd and even numbers from 1 to 9 by the double-layer perceptrons. The output of 10 means that the result is even, the output is 01 means the result is odd)
单层感知器
- 基于深度学习实现单层感知器的python代码，用单层感知器处理非线性分类问题,观察结果。(The Python code of single layer perceptron is realized based on depth learning, and the nonlinear classification problem is processed with a single layer perceptron, and the results are observed.)
感知器算法Matlab源码
- 感知器算法Matlab源码。用于解决感知器分类的问题(Perceptron algorithm Matlab source code)