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这是一个混沌理论中重要的细胞神经网络的程序。通过曲线很容易看到奇妙的超混沌吸引子-Chaos Theory important cellular neural network procedures. Curve it is easy to see the mysterious super-chaotic attractor
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混沌时间序列预测工具箱，包括了李雅普诺夫指数、分形纬、嵌入纬以及神经网络预测-chaotic time series forecasting tool kit, including the Lyapunov exponent, fractal-wai, Wei and embedded neural network prediction
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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.
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This program is to one-step EEG prediction. it is done by a fuzzy neural network based on a chaotic back propagation training method.
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This program is prepared as an one-step EEG predictor. this is used a fuzzy neural network which is trained by a chaotic back propagation method
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在用混沌理论和神经网络进行短期负荷预测时，神经网络的输入的选择至关重要，该程序用matlabl实现了基于混沌时间序列的嵌入维数的选择-In chaos theory and neural networks with short-term load forecasting, neural network is essential to choose the input, the program implemented with matlabl chaotic time series based o
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采用模糊神经网络anfis预测混沌时间序列的源程序。-The source program of Using fuzzy ANFIS neural network for predicting chaotic time series.
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用混沌理论和神经网络进行短期负荷预测时，神经网络的输入的选择至关重要，该程序用matlabl实现了基于混沌时间序列的嵌入维数的选择-Chaos theory and neural network short-term load forecasting, neural network input is essential to choose the program implemented in matlabl choice of embedding dimension based on chaot
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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-Based on neural network prediction of chaotic time series, including step and multi-step prediction algorithm
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混沌时间序列预测(chaotic time series prediction)RBF神经网络一步预测 -Step prediction of chaotic time series prediction (chaotic time series prediction) RBF neural network
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(1)针对在线计算量大这一缺陷，将预测控制中的柔化输出信号的思想推广到柔化输入信号，使得约束条件被简化为仅对当前控制量的约束，可以直接计算得出；同时该方法避免了求逆矩阵，大大减小了计算量，并能够保证控制算法的可行性和良好的控制性能。
(2)针对传统算法中设计参数整定困难这一缺点，应用基于BP神经网络变参数设计的广义预测控制算法，实现了对控制量柔化参数的在线调整。
(3)利用带有遗忘因子的最小二乘法对系统辨识。本文通过仿真发现该方法对于Hénon混沌系统并不完全适用，可考虑利用其他优化系统
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利用matlab自带的BP神经网络工具箱对duffing混沌背景模型进行相空间重构与预测，程序中已经给出duffing函数，主函数中也给出了主要注释，方便大家学习交流。-BP' s own use matlab neural network toolbox for duffing chaotic background model and prediction of phase space reconstruction, the program has been given duffing
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Neural Network and Fuzzy Logic Applications
in C/C++. Book Disk. Turbo Vision UI, Feed-
forward network files, Genetic algorithms,
Chaotic dynamics, Financial data modeling,
Broom dynamics, Hopfield network, Fuzzy logic
control & Genet
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基于BP神经网络的混沌时间序列预测模型研究-Chaotic time series BP neural network forecasting model based on
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混沌系统的简介以及神经网络的MATLAB实现-Chaotic system and the neural network of MATLAB
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DeepLearnToolbox_CNN_lzbV2.0
深度学习,卷积神经网络,Matlab工具箱
参考文献:
[1] Notes on Convolutional Neural Networks. Jake Bouvrie. 2006
[2] Gradient-Based Learning Applied to Document Recognition. Yann LeCun. 1998
[3] https://github.com/rasmusberg
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混沌时间序列预测(chaotic time series prediction)
RBF神经网络一步预测 - \Prediction_RBF\Main_RBF.m
RBF神经网络多步预测 - \Prediction_RBF\Main_RBF_MultiStepPred.m
Volterra级数一步预测 - \Prediction_Volterra\Main_Volterra.m
Volterra级数多步预测 - \Prediction_Volterra\Main_Volterra
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应用遗传算法与类神经网络于混沌系统之辨识,推荐给大家-Using genetic algorithm and neural network in the recognition of chaotic system, recommend to everyone
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应用遗传算法与类神经网络于混沌系统之辨识,推荐给大家-Using genetic algorithm and neural network in the recognition of chaotic system, recommend to everyone
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应用遗传算法与类神经网络于混沌系统之辨识,推荐给大家-Using genetic algorithm and neural network in the recognition of chaotic system, recommend to everyone
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