搜索资源列表
crossvalidate
- 基于决策树的n则交叉验证分类器 （决策树程序直接调用matlab中的） crossvalidate.m N则交叉验证程序，N可选 NDT.mat 含9个国际公认标准数据集，已做过标么处理，可直接使用 专业-n Based on Decision Tree is cross-validation classification (decision tree directly call the Matlab) cr ossvalidate.m N is cross-validation
nine
- 九宫重排算法，这个是人工智能经典的算法，人工智能实验成果
chess.py
- Python实现A*算法解决八数码问题。 输入为九个数字的列表，代表八个数的位置（Z字型方向），空位以-1代替。 输出为各移动步骤得到的九个数的矩阵（输出到屏幕）。 使用是调用answer函数。返回一个各移动步骤得到的九个数的矩阵的列表。-Python achieving eight A* algorithm to solve digital problems. Enter a list of the nine numbers represent the number eight p
jiugong
- 九宫问题原代码,解决九宫按要求重排问题.-Nine-palace the issue of the original code, solve the Nine-palace required rearrangement problem.
youxi
- 人工智能学习理论性太强，关键还不知道学了干什么用，怎么去用。这里对经典的九宫问题，用形象的实例进行演示。里面是源代码-Artificial Intelligence Learning Theory too, learn the key do not know what to use, how to use. Nine-palace here on the classic problem, with the image of demonstration examples. There is sou
nine
- 人工智能实验的九宫问题 是用C语言写的-Nine-palace the issue of artificial intelligence experiment is written in C language
eightdata
- 8数码问题，A*算法，即根据评价实现九宫问题设计，C语言实现-8 digital issues, A* algorithm, that is based on the evaluation issue of the realization of Nine-palace design, C language
EightNum
- 八数码问题,可以实现将九个空格里的八个数进行排列-8 digital issues, the nine spaces can be achieved in eight years with the number of
8
- 八数码问题也称为九宫问题。在3×3的棋盘，摆有八个棋子，每个棋子上标有1至8的某一数字，不同棋子上标的数字不相同。-8 digital issues the problem is also known as Nine-palace. In the 3 × 3 chessboard, before there are eight pieces, each piece marked a 1-8 figures, the number of different pieces on the subjec
jiugongtu
- 利用遗传算法求解九宫问题,这个是我们人工智能与专家系统的作业，保证能用-Nine-palace using genetic algorithm, which is the artificial intelligence and expert system for operation, can be used to ensure
BP
- BP神经网络进行岩性识别，此程序针对岩性资料9参数而设计，9-4-3结构，可识别三种类型，并进行简要绘图。-BP neural network is used for lithologic identification. This procedure parameters for the nine lithological information designed ,9-4-3 structure, and can identify three kinds of types, and draw
Perceptron
- 神经网络感知器学习规则：Perceptron学习规则。以三个样本为一个周期对神经网络进行训练，本程序共经历三个周期共九次训练，九次训练后期望输出和实际输出相等，满足终止条件，训练结束。这是自己的课堂实验，希望对大家有所帮助。-Perceptron learning rule neural networks: Perceptron learning rule. With three samples for a period of neural network training, the progr
9gird
- 人工智能中的经典问题九宫算法使用VC++的实现-Nine-palace classic problem in artificial intelligence algorithm implementation using VC++
Nine-degrees-of-freedom-robot-arc-welding-off-line
- 九自由度弧焊机器人工作站离线编程系统的研究Nine degrees of freedom robot arc welding off-line programming system for workstations-Nine degrees of freedom robot arc welding off-line programming system for workstations
Recursive.algorithm.game
- Recursive algorithm for nine serial game九连环游戏算法递归实现 -Recursive algorithm for nine serial game
Knapsack_Problem
- 背包算法 背包九讲 分析了几种常见的背包问题，以及如何实现背包算法。-Knapsack algorithm Analysis nine kinds of Knapsack problem, and how to implement them. It s a very good book for learning about Knapsack algorithm.
8number
- 把数码问题求解，人工智能算法。输入0~8九个数字。-A digital problem solving, artificial intelligence algorithms. Enter the nine numbers 0 to 8.
BFS-v1.1
- 这是我写的人工智能的九宫问题，用广度优先搜索实现，效率不高。-This is my problem writing artificial intelligence Nine-palace, with breadth-first search to achieve efficiency is not high.
1
- 本程序用pca，kpca,svm,pls,fisher，神经网络实现cstr和csth过程的故障检诊断，诊断率为百分之九十九，故障识别率为百分之七十七-The program use pca, kpca, SVM, PLS, fisher, neural networks realize CSTR process inspection and CSTH fault diagnosis, diagnosis rate is ninety-nine percent, and the fault re
2
- 本程序用pca，kpca,svm,pls,fisher，神经网络实现cstr和csth过程的故障检诊断，诊断率为百分之九十九，故障识别率为百分之七十六-The program use pca, kpca, SVM, PLS, fisher, neural networks realize CSTR process inspection and CSTH fault diagnosis, diagnosis rate is ninety-nine percent, and the fault re