搜索资源列表
Artificial-Neural-Networks2006
- 神经网络概述及基本模型，然后详述了各种模型，包括感知器神经模型、自组织竞争神经网络、径向基函数神经网络、反馈神经网络、支持向量机神经网络、遗传算法等内容。-Overview and basic neural network model, and then details the various models, including perceptron neural model, self-organizing competitive neural network, radial basis fu
ANN
- 人工神经网络算法，包括感知器算法和BP算法等-ANN BPalgorithm
ganzhimoxing
- 简单感知器模型的基本原理：将样本矢量X输入到感知器中，得到实际输出y，再用y与期望输出d的差来修正下一步的权值。-Simple sensor model of the basic principles: the sample to the sensor input vector X in, get the actual output y, then y is the difference between the desired output d to fix the next weight.
percep01
- 一个感知器网络，绘制由W和B在输入平面中形成的最终分类线-A sensor network, drawn from the W and B in the input plane to form the final classification of line
percep3
- 创建一个感知器网络，看前面的网络训练结果图形-Create a sensor network, network training to see the results of the previous graph
neural-network
- 神经网络相关ppt，主要包括BP算法和感知器优化算法相关介绍-Neural network-related ppt, including BP algorithm and optimization algorithm related presentations perceptron
perceptron
- 感知器算法的分类器，学模式识别的可以看看，可以实现2维向量的线性分类-Perceptron classifier algorithm, learning pattern recognition can see, you can achieve 2-dimensional vector of linear classification
a
- 用matlab编程实现单层感知器的实验。对线性可分问题提供了一种较好的解决方案。-it is a very useful experiment.
perception
- 数据挖掘里的感知器算法，已生成exe文件，需要在dos命令里输入参数来运行，不要直接运行cpp文件。详见文件说明。-perception algorithm
sensor
- 这是一个用matlab编的用感知器识别土壤类型的代码-matlab soil type sensor
BP_final
- 多层感知器MLP网络以及BP算法，实现了对非线性函数的逼近，matlab进行编程-failed to translate
667777777766
- 模式识别的作业源代码，包括了c均值算法（Cmeans）和自主值迭代算法（ISODATA），以及W-H固定增量算法和感知器（基于MFC实现）。-Operating source code for pattern recognition, including c-means algorithm (Cmeans) and self-value iteration algorithm (on ISODATA), and WH fixed incremental algorithm and the sen
ann
- 神经网络导论ppt 包括神经网络基础，感知器BP网络，对传网，非确定方法，循环网络和自适应共振理论-Neural Network Introduction ppt Cycle network and adaptive resonance theory neural network Perceptron BP network, Counterpropagation Network, non-deterministic methods
ganzhiqisuanfa
- 感知器算法,模式识别等应用，数学算法，没有了-math depand on ganzhiqi
ganzhiqi
- 感知器算法，可对任何两类问题线性分解,使用的是迭代算法，得到了较好的结果。-bp algrithm,which can sepret two classes with linear answer.
Perceptron
- 线性分类器之感知器算法，将两种类型的二维数据实现线性分类-The linear classifier perceptron algorithm, the two types of 2 d data realize linear classification
ganzhi
- 感知准则函数是五十年代由Rosenblatt提出的一种自学习判别函数生成方法，Rosenblatt企图将其用于脑模型感知器，因此被称为感知准则函数。其特点是随意确定的判别函数初始值，在对样本分类训练过程中逐步修正直至最终确定。 -Perception criterion function is the 1950s proposed by Rosenblatt, a self-learning discriminant function generation method, Rosenblat
discriminant_function
- 利用感知器算法和增量校正算法实现样品的分类-Perception algorithm and incremental correction algorithms to achieve the classification of the sample
ganzhiqi_g7
- 基于感知器的iris数据集分类算法，matlab实现，有注释。-Classification algorithm based on the iris data set of the perceptron, the Matlab implementation, and comment.
perceptron
- matlab编写的感知器算法，实验数据为Iris，运行良好！-Matlab prepared perception algorithm, the experimental data for the Iris, a good run!