资源列表
FisherFace
- Fisherface方法的实现是在PCA数据重构的基础上完成的，首先利用PCA将高维数据投影到低维特征脸子空间，然后再在这个低维特征脸子空间上用LDA特征提取方法得到Fisherface。程序中使用参数寻优的方法来寻找最佳投影维数，以达到比较理想的识别效果。-The Fisherface method implemented in the PCA data reconstruction based on the completion of the first use of PCA project
TSP
- 人工智能中的经典算法，TSP模拟退火算法。本程序简单实现了的用模拟退火算法实现了旅行商问题。只需在文本cities中输入各个城市之间的距离，运行程序后就可以求出旅行各个城市的最短距离。适合学习人工智能和对该算法有兴趣的同学使用。-Classic artificial intelligence algorithm, TSP simulated annealing algorithm. The program is simple to achieve with simulated annealing
Queen
- 四皇后问题回溯算法，c语言写法，人工智能作业-four queens
MBBox
- 猴子吃香蕉问题，人工智能，C语言版本，猴子拿到箱子后爬到箱子上吃香蕉-Monkeys eat bananas, artificial intelligence, C language version, the monkeys get the box after a climb up the box on bananas
12_01_0079_0085_2
- Active contours or \snakes" can be used to segment objects automatically. The basic idea is the evolution of a curve, or curves subject to constraints from the input data. The curve should evolve until its boundary segments the object of intere
disertation
- 清华大学申请博士论文，有关连续无限制语音流中关键词识别方法研究的，大家都知道清华大学的博士论文是不上网的哦。-Tsinghua University to apply for a doctoral thesis, unlimited voice stream keyword spotting method continuous research, we all know the Internet Tsinghua University doctoral dissertation Oh.
graph1
- 基于matlab的数字信号发生器兼电子琴设计-Based on digital signal generator matlab Chief keyboard design
mohuyuce
- 对列车运行过程进行模糊预测算法优化控制并使用matlab进行仿真实验-Train running fuzzy prediction algorithm to optimize control and use matlab simulation experiments
Seven_RBF_codes
- 七个RBF神经网络的源程序，包括聚类等多个功能演示-Seven RBF neural network source code, including clustering multiple functional demo
VoiceDialSystem
- 通过语音，进行识别，得到识别参数。这里是通过HKT 进行数据训练。里面有说明文档-voiceDialSystem get dial number through voice/ voice recongization
MATLAB_for_Fuzzy
- 模糊神经网络解耦的MATLAB程序，适用于神经网络学习者-MATLAB fuzzy neural network decoupling procedures applicable to the neural network learners
PIDjiaocheng
- 对经典控制算法PID控制算法的详细讲解，并作相应的改进及实例教程，适合初学者。-Explain in detail the classic control algorithm PID control algorithm, and to make improvements and tutorial examples for beginners.