资源列表
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.
基于bp神经网络的货运量预测matlab实现
- 基于bp神经网络的货运量预测matlab实现-bp - based neural network is forecast to achieve Matlab
CRC Press Wireless Sensor Networks Architectures A
- CRC Press Wireless Sensor Networks Architectures And Protocols電子書-Wireless Sensor Networks, Architectures and Protocols And e-books
differential algorithm
- 这是一个用matlab编制的DE算法的源程序,希望大家喜欢!-This is a preparation using the Matlab DE algorithm source, hope you like them!
基于进化BP网络的含噪声点阵数字的识别
- 基于进化BP网络的含噪声点阵数字识别的源程序,希望对大家有所启示。-BP network based on the evolution of the digital matrix containing noise identification of the source, we hope to reveal.
NEA
- 针对现有遗传算法在多维非线性优选方面的不足,本文提出了一种基于小生境进化算法(NEA)的非线性优选模型,探讨了NEA算法的参数选择原则。通过大量仿真和比较,表明算法在复杂非线性优选中具有快速、高效、鲁棒性强的特点,并能在全局范围内有效搜索所有最优解。 -against existing genetic algorithms in three-dimensional nonlinear optimization for the shortage, the paper presents a ni
改进的遗传算法
- vb写的改进的遗传算法程序。是一些通用代码,与具体问题对应的代码空出来,用的时候填进去。根据我的经验,要想用好遗传算法,代码必须自己写,因为问题不同,编码,杂交,变异算子可能都不一样。特别是杂交算子,需要根据问题调整,甚至创造出新的杂交方法。而且适应度计算的代码也需要自己写,特别是带约束的优化问题 -vb write improvement in the genetic algorithm. Some common code, with the specific issues the corre