资源列表
lsvm
- 用线性支持向量机，lsvm分类器实现分类，同时给出了实验结果。还画出了支持向量。-Support vector machines with linear, lsvm classifier achieved classification, while the experimental results. Also drawn the support vector.
lms
- 用lms分类器实现了比较准确的分类，同时给出了实验的结果。运行正确，直接调用程序即可。-Lms classifier achieved with the more accurate the classification of the experimental results are given. Running correctly, you can directly call the procedure.
fisher
- 用fisher分类器实现简单的分类，首先进行样本的训练，然后对待测样本进行测试，程序中画出了分界面。-Fisher classifier with a simple classification, first of all to the training sample, then treatment of test samples for testing, the interface of the program are drawn.
Tuning_of_PID_Parameters_Using_Artificial_Neural_N
- 论文《Tuning_of_PID_Parameters_Using_Artificial_Neural_Network》-Tuning_of_PID_Parameters_Using_Artificial_Neural_Network.PDF
BP_neural_network_based_on-line_tuning_of_PID_para
- 论文《基于BP神经网络的参数在线整定的PID实时控制》-BP neural network based on-line tuning of PID parameters of real-time control
Base_on_BP_neural_networ_PID_controller_and_MATLAB
- 论文《基于BP神经网络的PID控制器及其MATLAB仿真》Base_on_BP_neural_networ_ PID_controller_and_MATLAB_simulation.rar-Base on BP neural network PID controller and MATLAB simulation
Neural_Network_PID_Control_and_MATLAB_Simulation.r
- 论文《神经网络PID控制及其MATLAB仿真》-Neural Network PID Control and MATLAB Simulation
Neural_network_PID_control_in_the_diesel_engine_sp
- 论文《神经网络PID控制在柴油机调速系统中的应用》-Neural network PID control in the diesel engine speed control system
bp
- BP神经网络算法用matlab实现的源程序-BP neural network algorithm to achieve the source code with matlab
GA
- 研究生人工智能课程里关于八数码和遗传算法的实现-GA
rrt-0.3
- RRT路径规划算法，可以生成曲线路径，并跟踪生成的路径-RRT* path planning algorithm can generate curved path, and follow the path generated
trunk
- 子地图优化程序，可以同时对上千个子地图进行优化，优化速度快-Sub-map optimization program that can map the same time, thousands of sub-optimization, fast optimization