资源列表
success
- 实现电机伺服系统PID控制、模糊PID控制、神经网络PID控制仿真比较-Realize PID control motor servo system, the fuzzy PID control, neural network PID control the simulation
Q-Learing-and-bp
- 强化学习和BP神经网络,利用该代码可以深入理解Q学习如何和BP神经网络结合在一起的。-reinforcement learning and BP neral net
yichuansuanfa
- 遗传算法实现数据拟合，拟合效果好，相似度达到99 以上-Genetic algorithm for data fitting, the fitting effect of similarity of more than 99
sheji
- 基于遗传算法的车间布局单目标优化，部分代码，参考MATLAB6.5辅助优化计算也设计一书-Based on genetic algorithm resource constraints objective optimization
classify_analog
- 模拟信号调制识别，论文上算法的实现，用于计算特征参数：零中心归一化瞬时幅度谱密度最大值、瞬时幅度等-Analog signal modulation recognition
globalpathplanning
- 基于能量函数的人工神经网络路径规划,基于模拟退火原理的机器人三维路径规划例程。-Based on the energy function neural network path planning, based on simulated annealing principle of 3 d robot path planning routines.
gabp
- 新版本的matlab代码 遗传算法优化神经网络预测城市轨道交通车站接驳客流总量-A new version of the matlab code genetic algorithm optimization neural network prediction of urban rail transit station connecting passenger total
TWSVM(2)
- 借助（非线性）孪生支持向量机，来解决二分类问题。-Twin support vector machine to solve the problem of binary classification with the (non-linear).
poisson
- 利用快速傅里叶分解法求解二维泊松方程的fortran程序-Fortran program using the fast Fourier decomposition method for solving 2D Poisson equation
msc--Nastran
- MSC.NASTRAN的主要动力学分析功能如：特征模态分析、 直接复特征值分析、 直接瞬态响 应分析、 模态瞬态响应分析、 响应谱分析、 模态复特征值分析、 直接频率响应分析、模态频率响应分析、 非线性瞬态分析、 模态综合、 动力灵敏度分析等。-The main kinetic analysis functions in MSC.NASTRAN such as: characteristics of modal analysis, direct complex eigenvalue anal
yichuanfahua
- 用萤火虫算法来优化粒子群算法，使得性能更优。-Firefly algorithm to optimize particle swarm algorithm, better performance.
GSO
- 群搜索优化算法(Group search optimizer, GSO)函数优化程序，包含几种常用的单模及多模标准测试函数。运行demo即可。-Group search optimizer (GSO) program for nemerical funciton optimization. It contains several singlemodal and multimodal functions. Please run "demo".