资源列表
nsga2-v1.0
- 多目标的NSGA-2的程序 使用C语言编写，里面包含详细的步骤-NSGA2 multi-target program
Matlab_BP
- 本程序基于matlab编写的BP神经网络程序，利用了matlab的神经网络工具箱。-The program is based on BP neural network matlab written procedures, the use of matlab neural network toolbox.
genetic-algorithm-VRP
- 遗传算法求解VRP问题，自带绘制路径功能，且包含word对问题详细描述。-Genetic Algorithm for VRP problem, comes to draw a path function, and contains a detailed descr iption of the problem word.
som_algorithm
- 使用matlab编写了SOM算法的实现过程，包括训练过程代码，代码简洁，运行稳定。-Matlab prepared using SOM algorithm implementation process, including the training procedure code, the code is simple, stable operation.
2
- 驾驶员模型数据处理，论文第二章仿真程序，发表sci-Pilot model data processing, paper chapter ii simulation program, published sci
3
- 两种驾驶员模型进行对比分析，最终验证本驾驶员模型的优势-Comparing the two pilot model, finally verify the driver model
4
- 实现驾驶员模型的模块化，进行集成控制，减小侧偏角度-Realize the driver model of modularization, integration control, reduce the lateral deflection Angle
chap5
- 基于神经网络的滑模控制，包括神经网络的最小参数学习法的自适应滑模控制和二阶系统的滑模控制。-Sliding mode control based on neural network sliding mode adaptive sliding mode control, including the minimum parameters of neural network learning method and two order control system.
BP_PID
- 神经网络PID控制的阶跃响应，能够准确跟踪输入信号，各项指标满足要求。-the step response of Neural network PID control,Can accurately track the input signal, the indicators meet the requirements.
matlab
- 随机森林模型matlab仿真代码，能流畅运行哦-Random forests model of matlab code, and can run smoothly
RAN
- 基于RAN 改进的RBF神经网络代码，动态增加隐节点数，一种比较经典的改法-Based on the RAN improved RBF neural network
BPmoxing
- 动态神经网络时间序列预测研究——基于MATLAB的NARX实现-Dynamic neural network time series prediction- based on MATLAB realization NARX