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钻石棋问题
- 独立钻石棋问题描述： 有一棋盘， 上有44个钻石棋子，有一位置空缺， 棋盘初始状态如下： １１１ １１１ １１１ １１１１１１１１１ １１１１０１１１１ １１１１１１１１１ １１１ １１１ １１１ 其中，0表示没有放置棋子， 1表示放置。 规定走法如下： a. 任一棋子可越过一相邻棋子（紧相邻）跳到一空缺位置， 并吃掉越过的棋子（从棋盘移处） 如， 走一步后棋盘状态： １１１ １１１ １１１ １１１１１１１１１ １１１１１００１１ １１１１１
EMdemo
- n this demo, we show how to use Rao-Blackwellised particle filtering to exploit the conditional independence structure of a simple DBN. The derivation and details are presented in A Simple Tutorial on Rao-Blackwellised Particle Filtering for Dynamic
rjMCMCsa
- On-Line MCMC Bayesian Model Selection This demo demonstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps to perform model selection in neural networks. We treat both the model dimension (number of neurons) and
RaoBlackwellisedParticleFilteringforDynamicBayesia
- The software implements particle filtering and Rao Blackwellised particle filtering for conditionally Gaussian Models. The RB algorithm can be interpreted as an efficient stochastic mixture of Kalman filters. The software also includes efficient stat
EMfor_neural_networks
- In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Will Penny from EE, Imperial Co
On-Line_MCMC_Bayesian_Model_Selection
- This demo nstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps to perform model selection in neural networks. We treat both the model dimension (number of neurons) and model parameters as unknowns. The derivation a
Reversible_Jump_MCMC_Bayesian_Model_Selection
- This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation paramete
MCMC_Unscented_Particle_Filter_demo
- The algorithms are coded in a way that makes it trivial to apply them to other problems. Several generic routines for resampling are provided. The derivation and details are presented in: Rudolph van der Merwe, Arnaud Doucet, Nando de Freitas and Eri
capacity_MIMO
- This chapter contains sample programs for determining capacity. The reader is advised to go through the coding. The file \"capacity_water.m\" is for measuring the waterfilling capacity. It should be made to work with a file similar to \"capacity
用c实现的商品货架算法
- 问题描述： 假设一个商店，它有一个货架和一个仓库，当货架上的商品数量少于一定的数目时，从仓库运一定数量的商品摆到货架上，当仓库里的商品的数量少于一定的数目时，购买商品把仓库填满，商品的出售要按照商品的生产日期来，快要过期的商品要先出售。 解决问题的方法： 用了两个栈和 一个队列，把队列当作仓库，用一个栈作为货架，把另一个栈当作临时的存储箱。当要往货架上添商品时，先把作为货架的栈中的元素全都压到作为存储箱的栈中，再把仓库中的元素压到存储箱中，然后再把存储箱中的所有元素都压到货架上，这样，就能保证快
马踏棋盘（第2章）
- 1． 问题描述设计一个国际象棋的马踏遍棋盘的演示程序。2． 基本要求将马随机放在国际象棋8*8棋盘的某个方格中，马按走棋规则进行移动。编制非递归程序，求出马的行走路线，将数字1，2，3，4，…，64依次填入一个8*8方阵。-1. Problem descr iption design of a chess board Ma travels in the demonstration program. 2. Ma basic requirements on random chess 8 * 8 ch
马踏棋盘问题.
- 将马随即放在国际象棋的8×8棋盘Board[8][8]的某个方格中，马按走棋规则进行移动。要求每个方格只进入一次，走遍棋盘上全部64个方格。编制非递归程序，求出马的行走路线，并按求出的行走路线，将数字1,2,……,64依次填入一个8×8的方阵，输出之。-Ma immediately on the international chess 8 8 chessboard Board [8] [8] of a box, MA by the rules of chess go mobile. Requi
hyplas
- ************************************************************************ * * * * * THIS IS THE H Y P L A S 2.0 README FILE * * ----------------- * * * * HYPLAS is a finite element program for implicit small and large * * strain analisys of hyperelast
PCNN_toolbox.rar
- 该程序是我用在图像融合中的脉冲耦合神经网络(PCNN)的代码，希望对各位有用。欢迎访问http://quxiaobo.go.8866.org or http://quxiaobo.blog.edu.cn,The program that I used in image fusion of Pulse-Coupled Neural Network (PCNN) code, in the hope that useful. Welcome to http://quxiaobo.go.8866.org
UAStar.rar
- 这是对A*寻路算法的一个封装.使用非常简单:1.指定寻路区域的大小(网格) 2.指定哪些节点是障碍物 3.给定出发节点点和目标节点, 寻路! 将返回最短路径. 另外, 还可以设定遇到障碍物时只能绕着障碍物的角走,This is a routing algorithm A* a package. The use of very simple: 1. Specified routing region size (grid) 2. Specify which node is the barrier 3
weiqi.rar
- 自己写的，基于MC算法和UCT算法的围棋程序，棋力有限，属于实验性质的代码，另，开发环境是VS2008，不知道选项里为什么没有,This is Go program ,writen by my own, based on MC algorithm and UCT algorithm . the level is limited. It s experimental nature of the code, and the other, the development environment is
imageprocessingmatlab
- 冈萨雷斯的数字图像处理书中的所有源码，方便 大家，不用再去一个一个模仿写进Matlab-Digital Image Processing Gonzalez all the source books, convenience to us, do not go to a copy of a written Matlab
ZhongShangUniversityprogramming_contest_materials_
- 程序设计竞赛资料ZSU：包括人工智能在围棋程序中的应用，测试数据设计中的三要素等资料-Programming Contest information ZSU: including artificial intelligence applications in the Go program, the design of test data and other information on the three elements
mopsoGECCO
- 多目标粒子群算法程序，感兴趣的可以进去-Multi-objective particle swarm optimization procedures can be of interest to go look at the
UCT--Java
- 当今电脑围棋的最新最强的算法用Java实现 -Go up-to-date in today s most powerful computer algorithms using Java to achieve