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混沌时间序列预测
- 1、该工具箱包括了混沌时间序列分析与预测的常用方法,有: (1)产生混沌时间序列(chaotic time series) Logistic映射 - \ChaosAttractors\Main_Logistic.m Henon映射 - \ChaosAttractors\Main_Henon.m Lorenz吸引子 - \ChaosAttractors\Main_Lorenz.m Duffing吸引子 - \ChaosAttractors\Main_Duffing.m Duffin
complexnetworkandchaos
- 分别用于复杂网络的bbv和tde模型计算，此外在小世界上模拟计算混沌振子的同步行为。-Separately for the complex network of bbv and TDE model calculation, in addition to the small-world simulation on chaotic oscillator synchronous behavior.
simulation
- 对一个50个结点（更多的节点的网络只需要修改模块中的标量维数就行）的复杂非线性耦合网络进行同步化仿真。首先生成K矩阵，然后运行simulink，即可得到50个洛仑兹混沌节点复杂网络的同步化曲线。-Of a 50-node (more network nodes only need to modify module scalar dimension on the line) the complexity of nonlinear coupling network synchronization s
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.
chaotic_neuranetwork
- 这是一个混沌神经网络的matlab程序，可用于实现基于混沌神经网络的预测和建模。-This is a chaotic neural network matlab program for chaotic neural network-based forecasting and modeling
robotarm
- 柔性机械臂的神经网络控制策略。课程报告，有详细说明。-Flexible manipulator neural network control strategy. Course report is described in detail.
descendiblity-arithmetic-BPNN-Matlab-example
- 用遗传算法优化BP神经网络的Matlab编程实例.doc-Using genetic algorithms to optimize BP neural network Matlab programming examples. Doc
sw-lorenz
- 本程序模拟计算复杂网络中的混沌同步控制，用于计算小世界网络中节点为lorenz振子-This procedure simulated a complex network of chaotic synchronization control, used to calculate the small-world network node for the Lorenz oscillator
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
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
hundunshenjingwangluo
- 混沌神经网络的工具箱，可以作为开发环境，用来预测-chaotic predictability
coasneural
- 基于混沌理论的神经网络预测方法.pdf,希望对你学习有帮助！-Based on chaos theory, neural network prediction method. Pdf, want to help you learn!
FourthordersolvefifthorderCNNequation
- 用四阶经典龙格库塔算法求解5阶细胞神经网络状态方程，得到5路超混沌序列。-With the fourth order classical Runge-Kutta algorithm for 5-order cellular neural network state equation, 5-way super-chaotic sequence are generated.
wavee
- 本程序是在用混沌理论和神经网络时，神经网络的输入的选择至关重要，该程序用小波理论进行了去噪-This procedure is to use chaos theory and neural networks, neural network is essential to choose the input, the program was de-noising using wavelet theory
RBF-shenjingwangluohundunyuce
- RBF神经网络混沌预测控制，MATLAB源代码-RBF neural network predictive control chaos, MATLAB source code
Parrecasting
- 混沌粒子群算法的神经网络短时交通流预测Particle swarm optimization based on chaotic neural network short-term traffic flow forecasting-Particle swarm optimization based on chaotic neural network short-term traffic flow forecasting
Mathematics-for-Intelligent-Systems
- 《非经典智能数学方法》一部适合研究生学习的非经典数学课程，介绍了如模糊数学、神经网络数学、遗传算法、pctri网理论、混沌理论、小波分析、非经典逻辑等内容。-" Non-classical smart mathematical method" for graduate study in a non-classical mathematics curriculum is introduced, such as mathematics, mathematical neural ne
Untitled
- RBF神经网络实现混沌预测 适用于初学者-RBF neural network prediction for beginners Chaos
Complex network algorithms
- 理解和学习 混沌、混沌同步、复杂网络的完全同步判据、复杂网络时滞系统的的同步判据、提高复杂网络同步能力的方法等内容(Understand and study the synchronization of chaos and chaos, the complete synchronization criterion of complex networks, the synchronization criterion of complex networks, time-delay systems,
基于模拟退火算法的混沌神经网络模型
- 基于模拟退火算法混沌神经网络的matlab程序(Matlab program of chaotic neural network based on simulated annealing algorithm)