资源列表
yiquansuanfa(matlab)
- 蚁群算法,简称最初是由美国加州大学伯克利大学的和为求解切比雪夫多项式而提出的一种新型无约束直接寻优算法。 -Colony algorithm, referred originally developed by the University of California at Berkeley and the University of solving Chebyshev polynomials and submitted a new unconstrained optimization alg
psobp
- pso优化后的bp神经网络，何以很好的克服bp神经网络的缺点-The disadvantage pso optimized bp neural network, how good overcome bp neural network
ulnnc
- 无导师学习神经网络的分类，程序很全，有实例可以在直接运行-Unsupervised learning neural network classification, the program is full, there are instances can be run directly
Immune-optimization-algorithm
- 免疫优化算法，在各方面都有很广泛的应用，本代码根据实例来详细描述了此算法，直接运行即可-Immune optimization algorithm, in all aspects of a very wide range of applications, the code is described in detail in accordance with examples of this algorithm can be run directly
BP
- BP神经网络的C++实现,包含于main函数中-back propagation demo ....
NSGAv2-master
- 基于遗传算法的多目标优化程序代码，比NSGAv2是基于第一代的优化-Genetic algorithm based on the multi-objective optimization program code, than the NSGAv2 is based on the first generation of optimization
TSP
- 免疫算法来实现TSP问题的求解免疫算法正是这一思路的产物，是受生物免疫系统的启示而设计出来的一种具有对多峰值函数进行多峰值搜索及全局寻优能力的新型算法。-Using immune algorithm to achieve the TSP problem solving, program-wide, you can run.
1001
- 修道士野人问题：使用盲目搜索算法——广度搜素算法进行问题的求解-Monk savage problem: the use of blind search algorithm- breadth search algorithm to solve the problem
Qlearning
- Q学习算法的MATLAB实现，仿真从一个初始位置到达指定位置的过程-Q learning algorithm simulation via MATLAB
RBFandYCSF
- 实现遗传算法优化径向基圣经网络结构的参数-Realization of genetic algorithm to optimize RBF network structure of the bible parameters
main_xor
- 《MATLAB神经网络原理与实例精解》，第六章中的例子——BP网络实现异或逻辑-" MATLAB network principles and examples of fine solution nerves," Chapter VI examples BP network XOR logic
diagnose
- 《MATLAB神经网络原理与实例精解》中chap13中的例子 基于概率神经网络的柴油机故障诊断-Diesel Engine Fault Diagnosis based probabilistic neural network- " MATLAB network principles and examples of fine nerve Solutions" in chap13 examples