自适应步长BP神经网络训练算法，采用最小误差和梯度下降法更新权值...

神 经 网 络 的 资 料-neural network data

FCM算法是一种基于划分的聚类算法，它的思想就是使得被划分到同一簇的对象之间相似度最大，而不同簇之间的相似度最小。模糊C均值算法是普通C均值算法的改进，普通C均值算法对于数据的划分是硬性的，而FCM则是一种柔性的模糊划分。在介绍FCM具体算法之前我们先介绍一些模糊集合的基本知识。-FCM algorithm is a clustering algorithm based on the division of its thinking is that it is making is divided into clusters with the greatest similarity between the object, and different similarity between the smallest cluster. Fuzzy C-means algorithm is an ordinary C-means algorithm, the general C-means algorithm for data delineation is rigid, while the FCM is a soft fuzzy partition. FCM in the introduction prior to the specific algorithm we first introduce some basic knowledge of fuzzy sets.

利用遗传算法自动进行排课-Using the genetic algorithm automatically Timetable

用c＋＋写的用于FPGA设计中布图布线的工具源码，有几万行程序，包含文档-using c++ to write for FPGA design the layout of the wiring tools source, there are tens of thousands of procedure, the document contains

这是一个神经网络的源代码-This a neural network source code

混沌识别，混沌特征指数的计算以及混沌预测。-Chaotic identification, chaotic characteristics of index calculation and prediction of chaos.

TSP问题是组合优化中的经典问题。其解决方法有局部优化方法和一些启发式算法,局部搜索方法充分考虑问题 的邻域结构,遗传算法有很好的全局搜索能力,memetic算法把遗传算法和局部优化算法相结合,试验结果证明,能很好地解 决TSP问题。-TSP problem is a classic combinatorial optimization problem. Its solution has a number of local optimization methods and heuristic algorithms, local search methods take full account of the issue of neighborhood structure, genetic algorithm has good ability of global search, memetic algorithm for the genetic algorithm and local optimization algorithm combining test results proved that well positioned to solve the TSP problem.

求解tsp问题的局部优化算法-the local optimization algorithm

svm工具箱的使用范例,很详细的范例，希望对大家有用-recognition use vsm toolbox

基于多目标优化的免疫遗传算法 在Matlab环境中的实现,期刊论文。-Multi-objective optimization based on immune genetic algorithm in Matlab environment, the realization of journal articles.