资源列表
code_DBM
- 新型神经网络的深度波尔兹曼机DBM学习训练实现MATLAB代码，在模式识别，图像处理等领域具有较好的应用，可供学习者研究借鉴。-new kind of neural network of Deep Boltmann machine,which implemented within matlab code. the network have a promising application in the field of pattern recognition and picture process
189-199
- As the compact design of a muffler system within a constrained environment of a existing machine room becomes obligatory, it also becomes essential to maximize the acoustic performance of mufflers under space constraints. In this paper, the sha
OMCLPBoost-0.11.tar
- 一个国外在线随机森林算法，可供机器学习程序参考-online random forest boost
PSO1
- 混沌收索的粒子群算法，代码应该没问题，自己试试吧。-Chaos closing the cable particle swarm optimization, the code should be no problem to try it myself.
csa-ga-pso
- 人工免疫算法、粒子群算法、遗传算法、寻优的matlab程序 -Artificial immune algorithm, particle swarm optimization, genetic algorithms, optimization matlab program
Distribution-network
- 进一步改进遗传算法，对遗传算法的编码方式，遗传算子，收敛判据等进行修改，以提高优化中的收敛速度和全局寻优能力-Improved genetic algorithm, the genetic algorithm encoding methods, genetic operator, convergence criterion are modified to improve the optimization, convergence speed and global searching abilit
Multi-Agent-Particle-Swarm-Algorithm
- 结合多智能体的学习、协调策略及粒子群算法，提出了一种基于多智能体粒子群优化的配电网络重构方法。该方法采用粒子群算法的拓扑结构来构建多智能体的体系结构，在多智能体系统中，每一个粒子作为一个智能体，通过与邻域的智能体竞争、合作。能够更快、更精确地收敛到全局最优解。粒子的更新规则减少了算法不可行解的产生，提高了算法效率。实验结果表明，该方法具有很高的搜索效率和寻优性能。-Combining the study of multi-agent technology，coordinating strateg
fcm_py
- fcm聚类算法的python实现。输出类内平均距离类间平均距离。-FCM clustering algorithm python realized. Output class average distance between class in the average distance.
matlab_My_NRflow
- 该程序用于配电网络的重构，使用的方法是基于matlab的遗传算法-The program for the reconstruction of the distribution network, the method used is based on matlab genetic algorithm
antTSP
- 蚁群智能优化算法，以解决旅行商问题为例GUI编程。-Ant colony optimization algorithm, to solve the traveling salesman problem, for example
som11
- som神经网络工具箱，神经网络的改进算法以及实例-som neural network toolbox neural network improved algorithm and example
beyes
- C++写的一个贝叶斯分类算法，附有一个训练集数据和一个测试集数据-C++ write a Bayesian classification algorithm