搜索资源列表
8sm
- 是个八数码问题的代码 基于A*算法,倒序将步骤写出-is eight digital code based on the A * algorithm, reverse steps to write
wujiao-elimcross
- wujiao.m是五角星去交叉程序，用于使求出的tsp去交叉，应用见我上载的ant-tsp-elimcross程序 nixu.m是wujiao.m求逆序的测试程序-wujiao.m is five-pointed star to cross procedures for so to get the cross-tsp. I see on the application contained in the ant-tsp - elimcross nixu.m is wujiao procedur
bp算法源程序
- 反向传播(back－propagation,BP)算法是一种计算单个权值变化引起网络性能变化值的较为简单的方法。由于BP算法过程包含从输出节点开始，反向地向第一隐含层(即最接近输入层的隐含层)传播由总误差引起的权值修正，所以称为\"反向传播\"。-BP (back-propagation BP) algorithm is a calculation of the weights of individual changes in network performance changes in the
EightPuzzle
- 程序实现的是用A*算法求解八数码问题，初始状态和目标状态均可在源码中自行设置，程序运行后会得到从初始状态到目标状态的最佳解的逆序显示，文件help.txt中提供了程序的算法，程序的具体设计在源码中都有相应的注释-Program implementation is to use A* algorithm to solve 8 digital issues, the initial state and target state can be set up in the source code of
SAGA
- 用模拟退火优化遗传算法，使遗传算法具有反向搜索能力，通过仿真表明能够得到更优的值。-Optimization by simulated annealing genetic algorithm, genetic algorithm so that the reverse search capabilities, through the simulation shows that can be better value.
flowercloud
- 基于人工智能中的云模型，运用正态云发生器的正向生成和逆向生成，完成花卉信息的提取和重构-Based on artificial intelligence in the cloud model, using normal cloud generator generates the positive and reverse generation, complete flowers information extraction and reconfiguration
zeeland2009
- Reverse-engineering state machine diagrams from legacy C-code
bp
- BP网络的原理，采用C语言实现它的过程，描述了正向和反向的传播-BP network principle, the use of its C language, the descr iption of the forward and reverse the spread of
01labview
- 关于labview设计的一些设计报告，CDMA系统中的反向预测功率控制算法，labview_通讯仿真，LabVIEW测量信号时间间隔的实现，labview生成exe，LabVIEW下基于BP神经网络，LabVIEW与C语言的接口技术及其应用，LabVIEW在数字电路课程教学中的应用，多项参数可编程的脉冲信号发生器-Labview design on some of the design report, CDMA system, the reverse power control algorith
1000s--Factorial
- 输入不超过1000的正整数，输出n!=1X2X3....Xn的精确结果 1000!大约等于4*10^2567，因此可以用一个3000个元素的数组f保存，为了方便我们从低位起保存位数据，再倒序输出，即f[0]保存个位，其他类推 每次只需要模拟手算即可完成n!，输出时要忽略前导0-Enter a positive integer less than 1000, Output n! = 1X2X3 .... Xn accurate results 1000! Approximately equ
lsyc
- 信道容量C的迭代算法 函数说明： [CC,Paa]=ChannelCap(P,k) 为信道容量函数 变量说明： P：输入的正向转移概率矩阵，k：迭代计算精度 CC：最佳信道容量，Paa：最佳输入概率矩阵 Pa：初始输入概率矩阵，Pba：正向转移概率矩阵 Pb：输出概率矩阵，Pab：反向转移概率矩阵 C：初始信道容量， r：输入符号数，s：输出符号数 -Channel capacity C o
xxs
- 信道容量C的迭代算法 函数说明： [CC,Paa]=ChannelCap(P,k) 为信道容量函数 变量说明： P：输入的正向转移概率矩阵，k：迭代计算精度 CC：最佳信道容量，Paa：最佳输入概率矩阵 Pa：初始输入概率矩阵，Pba：正向转移概率矩阵 Pb：输出概率矩阵，Pab：反向转移概率矩阵 C：初始信道容量， r：输入符号数，s：输出符号数 -Channel capacity C o
shannon
- 此程序代码旨在实现快速傅里叶变换里的按时间抽取，输入顺序，输出倒序。-This program code designed to achieve fast Fourier transform in the time taken by the input sequence, output reverse.
animal
- 采用C#网络编程，实现了人工智能中，动物识别产生式系统的规则为知识库（可增加规则），采用正向推理或逆向推理方式。-Using C# network programming, artificial intelligence, animal identification rules for the production system knowledge base (increase rules), the use of forward reasoning, or reverse reasoning.
Reverseorganizationsofnon-emptylist
- 非空链表的逆序组织，关于链表的创建删除等基础链表操作-Reverse organization of the non-empty list, create a linked list, delete the basis of linked list operations
GP
- 一个简单的中文分词系统，基于正向最大匹配算法和逆向最大匹配算法。-A simple Chinese word segmentation system, based on the forward and reverse maximum matching algorithm maximum matching algorithm.
BPA
- 神经网络和遗传算法的相关学习，主要是基于C语言编写代码利用误差反向方法学习神经网络的权重-Related study, of neural network and genetic algorithm is mainly based on C language to write code using the method of error reverse learning of the neural network weights
fenci
- 运用正向最大匹配算法和反向最大匹配算法，在已有预料库的基础上实现中文分词-The maximum matching algorithm using forward and reverse maximum matching algorithm, the library has been implemented on the basis of expected Chinese word
workstandard
- 深度信念网络带有限制玻耳兹曼机和反向传播网络以及卷积神经网络和子编码网络-Network with a limited depth of faith Boltzmann machine and reverse the spread of networks and convolution coding neural networks and sub-networks
Autoencoder_Code
- 深信度网络中的自编码部分，包括受限玻尔兹曼机训练，BP算法反向微调，深度学习入门学习材料！-Convinced of the network of self-coding parts, including Restricted Boltzmann Machine training, BP algorithm reverse trimming, deep learning introductory learning materials!