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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
一个简单的感知器网络
- 完整的c++代码，可以实现单层感知器网络。是神经网络入门者的一个参照
多层感知器神经网络，BP神经网络
- 多层感知器神经网络，BP神经网络的Visual C++ 2008源代码程序，一个外国人写的，很好用。需要一定的编程基础才能看懂.-MLP neural network, BP neural network Visual C++ 2008 source code program, a foreigner, is useful. Need to understand some basics of programming.
ML_Perception
- C++实现的神经网络感知器算法，有具体的例子验证，在Visual Studio2008下执行通过。-C++ implementation of the neural network perceptron algorithm, there is one specific example of authentication executed by the Visual Studio2008.
neral_network
- 清华大学的神经网络的课件！主要讲了感知器，对传网，自适应共振理论！-Tsinghua University, the neural network software! The main speaker of the perceptron on the Biography network, adaptive resonance theory!
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
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
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
dancengganzhiqi
- 单层感知器识别的一段程序，可以编译后实现-Single-layer perceptron to identify the section of the procedures can be compiled to achieve
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
bool
- 该程序通过感知器实现布尔逻辑运算，具体实现与或还有异或的运算-The program through the sensor to achieve Boolean logic operations
Perceptronneuralnetworkdesign
- 感知器神经网络设计，通过matlab实现，可以作为一个较好的示例-Perceptron neural network design
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!
feel
- 人工智能用vc实现单层感知器 人工智能用vc实现单层感知器-feel
BP_Network
- 机器学习中的单层感知器学习算法，可自动实现两个向量的逻辑与运算。-Machine learning in single-layer perceptron learning algorithm, can be self-fulfilling logic of the two vectors and computing.
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.)