搜索资源列表
混沌时序多步预测函数
- 混沌时序多步预测函数的MATLAB程序,对于研究混沌时间序列的朋友来说是个好程序-Chaos forecast sequential multi-step procedures MATLAB functions for research chaotic time series of friends is a good procedure
Volterraprediction
- 小数据量法求混沌吸引子最大Lyapunov指数的Matlab程序，参考文献：张家树.混沌时间序列的Volterra自适应预测.物理学报.2000.03-small data method for chaotic attractor largest Lyapunov exponent of Matlab procedures References : Zhang Shu. The chaotic time series Volterra adaptive prediction. Physics
Volterraprediction1
- 混沌时间序列的Volterra一步预测的Matlab程序-chaotic time series forecast Volterra step procedure Matlab
混沌时间序列预测的MATLAB源代码
- 混沌时间序列预测的MATLAB源代码,希望对大家有用,Prediction of chaotic time series of MATLAB source code, in the hope that useful
hundun
- 混沌算法,模式识别中的一类重要分类算法！自己写的！运算速度快！分类效果好！有注释！-Chaotic algorithm, pattern recognition algorithm for a class of important! Wrote it myself! Computing speed! Category effective! Annotated!
Prediction_RBF
- matlab编写的基于混沌时间序列的神经网络预测，包括一步和多步预测算法。-matlab prepared chaotic time series based on the neural network to predict, including step and multi-step prediction algorithm.
CLSPSO
- 混沌粒子群算法，具有很好的全局搜索能力！-Chaotic particle swarm algorithm has good global search capability!
RBFNN
- RBFNN一步预测混沌序列性能程序,可以直接运行,效果不错!-RBFNN step chaotic sequence performance prediction procedures, can be directly run, good results!
class
- 这个是我自己编写的基于混沌自适应粒子群优化支持向量机用于分类的matlab程序，本程序以心脏病的诊断为例，得出了非常好的效果！主要贡献在于解决了支持向量机参数人为选取随意性大且效果好坏不稳定的难题！-This is what I have written based on adaptive chaotic particle swarm optimization of support vector machine for classification of matlab procedures, t
chaos_neural_networks
- 混沌神经网络模型，包括二个和三个混沌神经元组成的网络-Chaotic neural network model, including two and three chaotic neuron network
CLSPSO
- 混沌的粒子群算法，求解无约束优化问题，可以保持个体多样性-Chaotic particle swarm algorithm for solving unconstrained optimization problems, can maintain the diversity of individual
cpslssvm
- 基于混沌粒子群与模拟退火优化算法的最小二乘支持向量机参数自选择方法-Based on Chaotic Particle Swarm Optimization and Simulated Annealing least squares support vector machine parameter self-selection method
TimeSeriesPredictionUsingSupportVectorRegressionNe
- 为了选择神经网络的最好结构以及增强模型的推广能力，提出一种自适应支持向量回归神经网络(SVR—NN)。SVR—NN 用支持向量回归(SVR)方法获得网络的初始结构和权值， 白适应地生 成网络隐层结点，然后用基于退火过程的鲁棒学习算法更新网络结点疹教和权 主。 SVR—NN有很 好的收敛性和鲁棒性，能抑制由于数据异常和参数选择不当所导致的“过拟合，’现象。将SVR—NN 应用到时间序列预测上。结果表明，SVR．NN预测模型能精确地预测混沌时间序列，具有很好的 理论和应用价值。-Ab
chaos
- 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.
chaospso
- 基于混沌的文化粒子群算法有很好的计算精度可以计算多维方程-Chaotic particle swarm optimization and cultural accuracy are very good multi-dimensional equations can be calculated
zjf_m
- 本程序用语画有时滞的分数阶混沌系统,程序简单使用.-This code is applicable to plot delayed fraction-order chaotic system. The code is simple but practical.
MATLAB-neural-network-stock
- 神经网络股市预测代码，基于混沌序列的matlab程序-The neural network stock prediction code, matlab program based on chaotic sequences
Chaotic-Systems-Toolbox
- 相空间重构的matlab实现工具包，适合初学者使用-This toolbox contains a set of functions which can be used to simulate some of the most known chaotic systems, such as: - The Henon map - The Ikeda map - The Logistic map - The quadratic map - The Lorentz fl
LET
- THIS IT A NEW IDEA FOR FRACTALE CHAOTIC SYSTEME IN CONTOUNS TIME
new1_1
- 混沌神经网络的单神经元模型，输出李雅普诺夫指数和a的图谱(Chaotic neuron model. Output Lyapunov as y, a as x.)