- 2008 年下半年的解答
- cocos2d-Joystick.xcodeproj 游戏中的虚拟摇杆
- ArrowRenderer_src This article presents some useful routines that help drawing custom arrows on any Graphics object. It allows to choose whether an arrow should be straight or curved. In the second case
- CLOCK 对飞思卡尔8位单片机MC9S12XS128的系统时钟进行配置
- read_write 60行代码实现文件读取写入
- get color application
资源列表
gaobject
- 基于Visual C++ 语言的遗传算法求函数最小值的程序代码。-Based on Visual C++ language of the genetic algorithm for the minimum function of the program code.
BP-LM
- BP 算法的神经网络，采用VC编制，具有较好的鲁棒性和快速收敛特性。-BP algorithm of neural networks, the use of VC establishment, has good robustness and fast convergence properties.
BP
- 一份关于bp神经网络的课件，就是关于神经网络的算法，感兴趣的值得一看，算法是一个难且很好的东西-about bp
PPTOfFuzzyControl
- 本资料是大学本科课程PPT课件，内容详细，模糊控制的数学分析、基本原理、基本模型、自适应控制-This information is PPT undergraduate curriculum courseware, as detailed mathematical analysis of fuzzy control, the basic principles, the basic model, adaptive control, etc.
rbfsysidenty4
- 这是用matlab写的RBF网络辨识函数。-it is very important
invertedpendulum
- 倒立摆是一种复杂、时变、非线性、强耦合、自然不稳定的高阶系统，许多抽象的控制理论概念都可以通过倒立摆实验直观的表现出来。基于人工神经网络BP算法的倒立摆小车实验仿真训练模型，其倒立摆BP网络为4输入3层结构。输入层分别为小车的位移和速度、摆杆偏离铅垂线的角度和角速度。隐含层单元数16个。输出层设置为1个输出单元。输入层采用Tansig函数，隐含层采用Logsig函数，输出层采用Purelin函数。用Matlab 6.5数值计算软件对模型进行学习训练，并与线性反馈控制逻辑算法对比，表明倒立摆控制B
TensorLDA_M
- tensor，毕设用的，算法优化得非常好，保证调用后运行正确-tensor, with completion set up and a very good algorithm to ensure correct operation after the call! !
BYLW07
- 基于模糊神经网络技术的智能诊断专家系统的研究 附录 代码部分-Technology based on fuzzy neural network intelligent diagnosis expert system part of the code in Appendix
prolog
- prolog人工智能编程语言，两套习题与详细解答。包括了prolog初学者所需要掌握的所有知识点与练习。-prolog excercise. include the solution .it cover all the knowledge point for the learner.
libsvm-2.89
- 是一種線性方成的分類器。SVM透過統計的方式將雜亂的資料以NN的方式分成兩類，以便處理。LIBLINEAR is a linear classifier for data with millions of instances and features. It supports L2-regularized logistic regression (LR), L2-loss linear SVM, and L1-loss linear SVM. -Main features of LIBLINEA
RBF
- RBF整定PID程序，对于工程应用比较的使用-PID tuning procedures RBF
AssociationRule
- apriori and apriori tid source