资源列表
TSP-based-on-improved-pso
- 基于对粒子群优化算法原理的分析，实现了一种基于TSP的改进的粒子群优化算法：求解TSP的混合粒子群算法，结合遗传算法、蚁群算法和模拟退火算法的思想来解决TSP问题。-Particle swarm optimization based on the principle of the analysis, implemented based on TSP, improved particle swarm optimization algorithm: solving the TSP hybrid pa
vicacopter-UAV5
- 很牛的开源的UAV代码最新版，基于三轴的无人直升机控制系统，神经网络控制实现！-Is cattle latest version of the open source code UAV, the unmanned helicopter based on three-axis control system, neural network control to achieve!
kalman-tracking
- 卡尔曼滤波的一个视频跟踪程序，简单实用，希望能帮助大家-Kalman filter tracking of a video program, simple and practical, hoping to help people
gaijinACATSP
- 该算法是改进蚁群算法，也是用来路径优化，但是收敛速度快-The algorithm is improved ant colony algorithm is used to route optimization, but the convergence speed
trackinger
- 该程序用来路径优化，特别应用在工程中的大型机械作业工作面的路径优化-The program is used to route optimization, especially applications in engineering work in the face of large mechanical path optimization
ANN-to-control-the-algorithm
- 基于BP神经网络的PID控制，利用神经网络的自学习、非线性和不依赖模型等特性实现PID参数的在线自整定，充分利用PID和神经网络的优点。-BP neural network based PID control, self-learning neural network, nonlinear and non-dependent model and other characteristics to achieve PID parameters on-line self-tuning, full us
PID-control-based-BP
- 用一个多层前向神经网络，采用反向传播算法依据控制要求实时输出Kp、Ki、Kd，依次作为PID控制器的实时参数，代替传统PID参数靠经验的人工整定和工程整定，以达到对大迟延主气温系统的良好控制。-We use a multilayer feedforward neural network using back propagation algorithm and based on control requirements.This net can real-time output Kp, Ki, K
chap2
- 基于滑模控制的机器人的轨迹跟踪控制仿真实验研究-Sliding Mode Control Based on Trajectory Tracking Control Study
gpops31
- 基于伪谱法的极大值原理数值算法,注意:应用此软件需要另外下载SNOPT,否则无法运行. -Pseudo-spectral method based on the maximum principle numerical algorithm, NOTE: This software requires a separate download application SNOPT, or not run.
PSO
- 智能优化算法,有粒子群算法（matlab）和多岛遗传算法（C语言）-PSO optimization algorithm and nsga-II optimization algorithm
rgyqs
- 人工鱼群算法的实例，是一个人工鱼群算法的好程序，实现了人工鱼群算法的过程-artifical fish group
ransac
- ransac，鲁棒性估计，多用于线估计，圆估计，等利用了概率论的知识，哈哈，互相学习一下-ransac, line detection, circle detection