遗传算法通用平台

实现了图的搜索算法，包括深度优先搜索，广度优先搜索，Dijstra算法，A*算法等较典型的搜索算法，同时可以进行图的输入和编辑等操作，仅供大家参考。-achieve the plan"s search algorithm, including depth-first search, breadth- first search algorithm Dijstra, A* algorithm is more typical search algorithm, and can map the input and editing operation, only for reference.

详细介绍了有关人工智能软件编写的理论和实务-details of the artificial intelligence software prepared by the theory and practice

K-mean算法实现程序-K-mean algorithm program! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !

神经网络 MCP运算法-neural network algorithm

多层神经网络的可执行例子 http://www.codeproject.com/cpp/MLP.asp?df=100&forumid=148477&exp=0&select=1141594#xx1141594-multilayer neural network executable examples http :// www.codeproject.com/cpp/MLP.asp df = 1

该程序代码实现BP网络函数逼近，适合初学者学习-The program code to achieve BP network function approximation, suitable for beginners to learn

模拟退火算法 模拟退火算法(Simulated Annealing,简称SA算法)是模拟加热熔化的金属的退火过程，来寻找全局最优解的有效方法之一。 模拟退火的基本思想和步骤如下： 设S＝{s1,s2,…,sn}为所有可能的状态所构成的集合， f：S―R为非负代价函数，即优化问题抽象如下： 寻找s*∈S，使得f(s*)＝min f(si) 任意si∈S （1）给定一较高初始温度T，随机产生初始状态S （2）按一定方式，对当前状态作随机扰动，产生一个新的状态S’ S’＝S＋sign(η).δ 其中δ为给定的步长， η为[－1,1]的随机数-simulated annealing algorithm (Simulated Annealing, or SA algorithm) is a simulation of heating molten metal in the annealing process, to find the global optimum one of the effective ways. Simulated Annealing basic ideas and the steps are as follows : S = (s1, s2, ..., sn) for all possible state posed by the pool, f : S-R non-negative cost function, that is abstract optimization problems are as follows : Find S* s, making f (s*) = min f (si) arbitrary si S (1) to set a higher initial temperature T, randomly generated initial state S (2) of a certain form, the current state of random disturbance, have a new state S "S" = S+ sign (). delta where given for the step, [-1,1] Random Number

一份中科院开发的语义分析源码，可编译运行。里面的代码都很完整，注释也清晰，是研究语义语法分析的必不可少的学习工程。-A semantic analysis of source code developed by Chinese Academy of Sciences, can be compiled to run. The code inside the very integrity of annotations is also clear, is to study the semantic parsing essential to study engineering.

小波神经网络电力负荷预测,有较强的学习价值和应用价值-Wavelet neural network power load forecasting, there are strong learning value and applied value

一个径向网络算法程序!-a radial network algorithm!