资源列表
percep2
- 此程序解决人工神经网络的筛选，能精确地选出合适的变量-This resolves the artificial neural network screening, can accurately select the appropriate variable
chapter10
- 神经网络理论与matlab实现第十章，适合初学者-Matlab neural network theory and realization of Chapter X, for beginners
gray-predict
- 游需求分析婶予促进我目各地区的经济发展和文化交流都有着重要的意叉。由于旅*业的。小样本，膏信息，不确定”性， 旅游市场可以看做是一个巨大的灰色系统。皋文竹对旅游需求同题进行了详细的研完，提出了基于灰色表镜理论的多元数学预测模型GM (1，N)．合理分析诸多因素对旅游需求的综合影响，可以很好的解决此奏问题。同时。以北京地区旅游需求发展为倒，根据北京市旅游局平 的历年旅游统计数据，确定影响游客人数的因素并对其合理量化，应用GM(1，N)模型对最地的旅游需求进行预潮．井通过残盖检验，后戎
beibao
- 模拟退火算法是一种通用的随机搜索算法，是对局部搜索算法的扩展。与一般局部搜索算法不同，SA以一定的概率选择领域中目标值相对较小的状态，是一种理论上的全局最优算法。-Simulated annealing algorithm is a common random search algorithm is an extension of local search algorithm. Different general local search algorithm, SA with a certain
B_spline
- 该代码是B样条神经网络算法，收敛快，可以很好地解决非线性逼近问题。-The code is B spline neural network algorithm, fast convergence, can be a good solution to the problem of nonlinear approximation.
alinfo
- file for cross validation
forcast-signal
- 利用人工神经网络预测系统输出，并进行评价-forcast the system
SimuAPSO
- 模拟退火发与粒子群算法的结合，程序可用，收敛的很快-Simulated Annealing and Particle Swarm made the combination of procedures available, fast convergence
PSO_nature
- 本程序为基于自然选择的粒子群优化算法，注释较为详细。基于自然选择的粒子群优化算法是借鉴自然选择的机理，根据粒子的适应度进行排序，加快算法收敛的速度。-This procedure for the particle swarm optimization algorithm based on natural selection and detailed comments. The particle swarm optimization algorithm based on natural selec
09-1
- Fuzzy Rule Base Implamentation
simpelpso
- written by budi santosa to implement modified PSO on single variable function budi_s@ie.its.ac.id based on Engineering Optimization Theory and Practice book by Singiresu S. Rao- written by budi santosa to implement modified PSO on single va