资源列表
matlabTSP
- 使用SA解决TSP问题的Matlab程序,很强大-TSP using SA to solve the problem Matlab program, very powerful
RBFmm
- 这是matlab运行RBF神经网络的代码，我试过可用。-This is the RBF neural network matlab code to run, I tried available.
TensorLGE
- 张量LGE算法入，供大家学习交流，注释有使用说明！-LGE algorithm into the tensor for them to learn from the exchange of Notes are used to explain!
npe
- 流形学习算法lle的线性化方法，是一种非监督的降维方法，比lle的优势在于可以将新的样本点映射到低维空间。-Lle manifold learning algorithm of the linearization method, is a non-supervised dimensionality reduction method has the advantage of being more than lle can sample the new point is mapped to the
SATSP
- 人工智能/神经网络，用模拟退火算法求解TSP寻求最优路径问题-AI/neural networks, simulated annealing algorithm for finding the optimal TSP path problem
FIS-Design
- It is about how to design a FIS.
Dominique-Gowens-Lab-7
- This is an Instrument Simulator consisting of a fuel guage and odometer class showing aggregation
Firefly-Algorithm
- 萤火虫算法源于模拟自然界萤火虫在晚上的群聚活动的自然现象而提出的，每只萤火虫被视为解空间的一个解，萤火虫种群作为初始解随机的分布在搜索空间中，然后根据自然界萤火虫的移动方式进行解空间中每只萤火虫的移动。通过每一代的移动，最终使的萤火虫聚集到较好的萤火虫周围，也即是找到多个极值点，从而达到种群寻优的目的。-Firefly firefly algorithm derived the simulation of natural phenomena in the natural night clust
sa
- 运用模拟退火算法解决旅行商问题，简单易懂，代码清晰，行数比较少-Simulated Annealing to solve TSP
ddt
- 微分方法方程 Calculate time derivative as a function of state and input variables of a (nonlinear) dynamic system - Calculate time derivative as a function of state and input variables of a (nonlinear) dynamic system
5_CNN
- 五阶CNN（细胞神经网络）的Lyapunov指数的求解代码-CNN' s fifth-order Lyapunov exponent
Text1
- 遗传算法的实现代码，是最原始的遗传算法，不加任何改进，适合初学者，代码不长，容易理解-Genetic algorithm implementation code, is the most primitive genetic algorithm, without any improvement, suitable for beginners, the code is not long, easy to understand