资源列表
bpwl
- 使用Levenberg-Marquart算法（最小二乘法）对BP神经网络进行训练，克服了传统BP算法收敛慢，容易收敛于局部最小值等缺点-use Levenberg-Marquardt algorithm to overcome some disadvantages like slow convergence which traditional BP neural network usually has
frist7
- Vb写的关于计算智能中的模糊评价系统，源程序代码-VB Artificial intelligence source code Fuzzy Evaluation System
ANN-pid
- 基于BP神经网络的pid控制的源代码注释-the source code comments on BP based PID Control
pso
- 用VC++写的粒子群算法,效率高，结果较精确！-pso algorithm is completed by using VC++
fuzzy equ mat
- 建立模糊等价矩阵的源码，我自己做的，想要的可以拿去，-Fuzzy equivalent matrix to establish the source, I do want to take,
fp_tree
- 用C语言实现的数据仓库中的数据挖掘算法的一段代码 带有详细的注释-Using C language in the data warehouse data mining algorithms with a detailed section of code Notes
GeneticandAntAlgorithms_src
- 关于遗传算法与蚁群算法的VC源程序，分别编写-Genetic and Ant Algorithms
ant_colony_system-Solve-the-TSP-problem
- 基于蚁群算法的50个城市TSP问题的求解，可推广至类似NP-hard问题。-Ant colony algorithm based on the 50 cities TSP problem solving can be extended to a similar NP-hard problem.
ga
- 遗传算法（Genetic Algorithm）是模拟达尔文生物进化论的自然选择和遗传学机理的生物进化过程的计算模型，是一种通过模拟自然进化过程搜索最优解的方法，它最初由美国Michigan大学J.Holland教授于1975年首先提出来的，并出版了颇有影响的专著《Adaptation in Natural and Artificial Systems》，GA这个名称才逐渐为人所知，J.Holland教授所提出的GA通常为简单遗传算法（SGA），遗传算法简单源程序。-Genetic Algorit
pso.pdf
- 微粒群算法的电子书，本书是由太原科技大学曾建潮教授等人编写的，比较系统的阐述了当前微粒群优化方面的研究成果和进展。-Particle Swarm Optimization of e-books, this book is written by Taiyuan University of Science and Technology Professor Zeng Jianchao and others prepared to compare the current system on the pa
pso
- 微粒群算法是今年发展起来的优化算法，广泛应用于物流，交通。可以解决VRP,TSP等经典问题-Particle swarm algorithm is developed to optimize this algorithm, widely used in logistics, transportation. Can solve the VRP, TSP, such as the classic problem
RBFAdaptive
- 机械手RBF网络自适应控制，是个很好的例子，可以借鉴的-RBF convergence than the BP neural network, and can avoid local optimum, can be used for classification, function approximation