资源列表
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
ELM_MatlabManual
- 极限学习机神经网络MATLAB实现的编程手册，有助于加深对极限学习机的理解-ELM, manual, matlab
svm_toolbox
- 基于matlab的支持向量机应用于数据预测分析的代码-Matlab-based support vector machine applied to the analysis of the code data to predict
2
- PSO求解TSP问题的参考文献，查询学校IEEE检索得到！-Particle Swarm Optimization Based on Neighborhood Encoding for Traveling Salesman Problem
SmartAnt
- 蚁群算法（又称蚂蚁算法，ACO）的演示。我的人工智能实验课大作业。-Ant colony optimization algorithm demonstration.
code
- 建立一个仿真环境，环境中还包括一个随机运动的目标和四个机器人，四个机器人要对运动目标进行围捕，如果运动目标被机器人围在中心，或者被围靠在墙角，则机器人成功围捕了目标。查阅相关机器人协作算法，实现一种以上算法并相互比较。要求给出源代码、试验结果并且进行演示。-To establish a simulation environment, the environment also includes a random movement goals and four robots, four robots