资源列表
electroniccoursewareontheneuralnetwork
- 清华大学最新的关于神经网络的电子课件，全面详细讲解神经网络原理和运用方法。-Tsinghua University, the latest on the neural network of electronic courseware, fully explain in detail the principles and application of neural network methods.
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- 《Matlab遗传算法工具箱及应用》源码-the matlab code about GA toolbox and applicition
wumpus
- 经典人工只智能WUMPUS问题 关于命题逻辑推理判断决策算法-Classical artificial intelligence WUMPUS problem only on the judge decision algorithm for Logic
robotinterface
- 该书是讲述机器人机电一体化接口的C语言编程的，可以很容易的扩展到Ｃ＋＋语言，日本的书，很实用-robot C language electro mechanical interface programming
Chess-robot-arm-inverse-kinematics-motion-analysis
- 本文针对机器人手臂沿棋盘格运动问题展开了研究，对五自由度机器人手 臂进行了运动学分析并分别求解出正运动学方程和逆运动学方程，针对机器人 手臂末端沿棋盘格的运动进行了路径规划，并对理论分析和算法设计进行实验 验证，得到良好的仿真效果。-This robot arm for movement along the grid of the research issues on the robot arm with five degrees of freedom kinematic an
BP_two_input
- 自己编写的BP神经网络 模拟y=（sin(x1)*sin(x2)）/(x1*x2)-BP Artifical Network, this program is designed to learn y=（sin(x1)*sin(x2)）/(x1*x2)
k_means_cluster
- k均值聚类算法 ，c语言实现 了基于均值的聚类分析，同时增加了多维向量分析功能，使得聚类的收敛速度更快。-k means clustering algorithm, c language implemented based on the mean cluster analysis, while increasing the multi-dimensional vector analysis functions, making the convergence faster clustering.
Bayes_nets_uncertainty_reasoning
- 贝叶斯网在不确定性推理中的研究 对从事这方面工作的很有指导意义-Bayes nets in the research of uncertainty reasoning in this line of work is very instructive
dd
- 智能信息处理，是对神经网络用matlab进行计算，测试数据与实际故障模式之间的关系-Test data and the actual relationship between the failure mode
sasim
- 斯坦福大学储层预测中心的FORTRAN模拟退火源程序-Stanford University Center for the FORTRAN reservoir prediction simulated annealing source code
tspsa
- 模拟退火算法用于解决“城市旅行者”问题的VC++源代码，对于理解模拟退火算法有很大的帮助！-Simulated annealing algorithm is used to solve the " Urban Traveler" problem VC++ source code, simulated annealing algorithm for the understanding of great help!
Embedded-in-a-chaotic-particle-swarm-optimization-
- 一种混沌粒子群嵌入优化算法及其仿真Embedded in a chaotic particle swarm optimization algorithm and simulation-Embedded in a chaotic particle swarm optimization algorithm and simulation