资源列表
weka-src
- weka 3.7源代码包 WEKA的全名是怀卡托智能分析环境(Waikato Environment for Knowledge Analysis)-weka 3.7 source code package WEKA full name is the intelligent analysis of the environment Waikato (Waikato Environment for Knowledge Analysis)
libsvm-weights-2.9
- 数据属性的权重分析. 用户可以给每个数据实例权重-Weights for data instances Users can give a weight to each data instance.
OO
- 序优化是解决基于仿真优化的重要工具，由著名学者YuChi Ho提出-Ordinal optimization is to solve an important tool for simulation-based optimization, presented by the famous scholar YuChi Ho
main
- 扫面线z buffer算法，读入obj文件，绘制一帧-Scan line z buffer algorithm for face, read into the obj file, draw a
implementationofCoevolutionaryalgorithm
- 利用帕累托最优和协同进化算法做一个模拟，可以应用在多目标优化上。-a simulation using pareto optimization and co-evolutionay algorithm, it could be used to solve multiple objective optimization.
financialwarningsystem
- 一个综合性模型，含有最大最小博弈模型，基因表达式编程模型，最终产生股票指数模拟结果-a comprehensive model together with minority game, majority game, genatic programing, and finally produce a simulated result of stock index.
minoritygameusedtomodelfinancialcontagion
- 市场博弈模型，用来模拟股票市场运行，最终产生股票指数的模拟结果-an market game model, used to simulated financial market operation, and produce a simulated result of stock index.
AI
- 人工智能导论与算法研究 章节： 1.导论 2.知识表示 3.逻辑推理 4.搜索原理 5.不确定推理-Fundation of Artificial Intelligence Structure: 1.Introduction 2.Knowledge Representation 3.Logic 4.Search 5.Uncertainty
bp
- 基于BP神经网络算法的函数逼近，利用matlab实现BP算法逼近任意非线性函数-BP neural network algorithm based on function approximation, using matlab to achieve BP algorithm approximate any nonlinear function
QEAsolvePackage
- 最近两年比较流行的量子进化算法（QEA），能够求解一般的优化问题。算例是一个典型的背包问题（离散二值问题）。-The more popular the last two years the quantum evolutionary algorithm (QEA), be able to solve the general optimization problems. An example is a typical knapsack problem (discrete binary problem
QEAsolveOptimization
- 最近两年流行的量子进化算法程序，能够优化一下基本的问题，本程序是基于一个连续的极值问题。-The last two years the popular quantum-inspired evolutionary algorithm process, to optimize the basic questions about this program is based on a continuous extremal problem.
DEELMNN
- 利用差分演化优化极限学习机神经网络的matlab源代码，涉及2个matlab程序-evolutionary extreme learning machine, differential evolution