搜索资源列表
MatLab_gongchengyingyong
- 在矩阵代数，数值计算，数字信号处理，振动理论，神经网络控制动态仿真领域都有广泛的应用。-In the matrix algebra, numerical computing, digital signal processing, vibration theory, the neural network to control the field of dynamic simulation has a wide range of applications.
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- 混沌时间序列分析与预测工具箱，包括了混沌时间序列分析的很多方法和预测方法-Prediction is a kind of dynamic filtering, in which past values of one or more time series are used to predict future values. Dynamic neural networks, which include tapped delay lines are used for nonlinear filter
guolu
- 采用基于BP神经网络的PID控制方法，设计PID控制器的在线调整控制系统，改善系统的动态性能-Based on BP neural network PID control, PID controller design line adjustment control system, improve the system dynamic performance
gunsun
- 基于欧几里得距离的聚类分析，关于神经网络控制，用MATLAB实现动态聚类或迭代自组织数据分析。- Clustering analysis based on Euclidean distance, On neural network control, Using MATLAB dynamic clustering or iterative self-organizing data analysis.
mangfao
- BP神经网络用于函数拟合与模式识别，用MATLAB实现动态聚类或迭代自组织数据分析，主同步信号PSS在时域上的相关仿真。- BP neural network function fitting and pattern recognition, Using MATLAB dynamic clustering or iterative self-organizing data analysis, PSS primary synchronization signal in the time domai
fuineng_v69
- MinkowskiMethod算法 ,是一种双隐层反向传播神经网络，用MATLAB实现动态聚类或迭代自组织数据分析。- MinkowskiMethod algorithm, Is a two hidden layer back propagation neural network, Using MATLAB dynamic clustering or iterative self-organizing data analysis.
严格反馈非线性系统的自适应神经网络输出反馈控制
- 严格反馈 神经网络状态观测器 自抗扰控制 动态面(strict feedback Dynamic surface Neural network state observer Active disturbance rejection control)
elmen
- Elmen神经网络仿真的matlab实现，该网络是一种动态神经网络，更适合动态数据的建模。并附带elmen神经网络的教学ppt。(Elmen neural network simulation of the matlab implementation, the network is a dynamic neural network, more suitable for modeling dynamic data.)
智能优化算法资料
- 优化算法有很多，经典算法包括：有线性规划，动态规划等；改进型局部搜索算法包括爬山法，最速下降法等，模拟退火、遗传算法以及禁忌搜索称作指导性搜索法。而神经网络，混沌搜索则属于系统动态演化方法。 梯度为基础的传统优化算法具有较高的计算效率、较强的可靠性、比较成熟等优点，是一类最重要的、应用最广泛的优化算法。但是，传统的最优化方法在应用于复杂、困难的优化问题时有较大的局限性。(There are many optimization algorithms, the classical algori
Dynamic_Deep_Neural_Networks
- We introduce Dynamic Deep Neural Networks (D2NN), a new type of feed-forward deep neural network that allows selective execution. Given an input, only a subset of D2NN neurons are executed, and the particular subset is determined by the D2NN itse
DNN
- 基于动态神经网络的时间序列预测模型，可以进行时间序列预测(A time series prediction model based on dynamic neural network can predict time series.)
deep-learning
- Dynamic resource allocation dqn