资源列表
chaos_neural_networks
- 混沌神经网络模型，包括二个和三个混沌神经元组成的网络-Chaotic neural network model, including two and three chaotic neuron network
Fractal
- 分形与图形设计，有Julia集，Mandelbrot集，Newton迭代以及三维混沌吸引子设计出的图像-Fractal and graphic design, there are Julia sets, Mandelbrot set, Newton iteration, as well as the design of three-dimensional chaotic attractor of the image
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