资源列表
C++神经网络开发包ANNIE源程序（最新版）
- C++神经网络开发包ANNIE，可以用C++语言开发各种神经网络：如BP，RBF，HOPFIELD等，同时随附件带有基于VC和.NET环境的示例源程序-C neural network development kits 8am, the C language can be used to develop a variety of neural networks : as BP, RBF, Hopfield, along with the annex and with VC.NET environ
一个主要用于预测和分类的源程序
- 开发环境:Matlab 简要说明:程序包含的设置包括：列数、样本总个数、建模样本数、预报因子数、预报对象数、学习因子、 动量因子、训练次数、总体误差、隐节点数。-development environment : Matlab brief descr iption : program includes the installation including : number, the total sample number, the number of samples modeling
BackProp算法源程序
- 开发环境:C语言 简要说明:BackProp算法：BP网络是反向传播(Back Propagation)网络。它是一种多层前向网络，采用最小均方差学习方式。这是一种最广泛应用的网络。它可用于语言综合，识别和自适应控制等用途。BP网络需有教师训练。 -development environments : C language Brief Descr iption : BackProp algorithm : BP is the back-propagation network (Back
用Delphi开发的遗传算法源程序
- 开发环境:Delphi 简要说明:TGABase is a abstract class. You must Derivate a sub_class from it. You must override abstract function calculateFitness. By the way, this class can only get minimum solution -development environment : Delphi Brief Descr iption :
基于MATLAB的显示误差递变的线性神经元源程序
- 开发环境:MATLAB 简要说明:基于MATLAB的显示误差递变的线性神经元源程序-development environment : MATLAB Brief Descr iption : Based on MATLAB error shows the linear movements of neurons source
用C++编写的BP神经网络开发包
- 开发环境:C++ 简要说明:这是一个神经网络开发包。目录ann下是专门针对神经网络的代码，外部目录是一些公用的代码，与神经网络无关，但是神经网络的代码用到了它们。 ann目录下有一个目录demo，里面存放了一些示例程序，请参照它们进行编程。（不好意思，刚才上面那个类别没选好就点上传了） -development environments : C Brief Descr iption : This is a neural network development kit. Ann direc
tspwithKL
- this tar includes my code which employ the Lin-Kernighan algorithm to address the tsp problem. this tar also include some testfiles and config file and a readme which describes how to run this program.
int dfsSweep
- 深度搜索算法，求解从起源点s到点j的最短路径算法的基本过程-depth search algorithm, solved from the point of origin j s close of the shortest path algorithm for the basic process
ct_fang
- 医学成像技术滤波反投影 内含R-L， R-S sweit滤波 重建后图像清晰，效果相当好-medical imaging technology filter-projection includes R-L, R-S sweit filtering reconstruction after the pictures are clear, the results are pretty good
ART
- 自适应共振理论网络 用来进行模式分类联想记忆效果很好，误差率极低，能正确识别-Adaptive Resonance Theory networks used for pattern classification associative memory with good results, the error rate is very low, able to correctly identify
calclulate_rf_prj1
- 我自己写的一个已知RF的L.C计算谐振频率的计算，用VB编写。-I wrote it myself a known RF oscillator calculation of the resonant frequency calculations, using Visual Basic.
mn=20
- This a project using RBF Neural network. developed using matlab 7. just load in matlab and can run it.