搜索资源列表
bannai
- 关于非线性离散系统辨识，解耦，恢复原信号，BP神经网络的整个训练过程。- Nonlinear discrete system identification, Decoupling, restore the original signal, The entire training process BP neural network.
fengling_v15
- 关于非线性离散系统辨识，BP神经网络的整个训练过程,用谱方法计算流体力学一些流动现象的整体稳定性。- Nonlinear discrete system identification, The entire training process BP neural network, Spectral methods of computational fluid dynamics flow of some of the overall stability of the phenomenon.
panyei
- 关于神经网络控制，音频信号通过LM386放大，关于非线性离散系统辨识。- On neural network control, LM386 audio signal amplification, Nonlinear discrete system identification.
123
- 基于hopfield神经网络的控制系统参数辨识-Identification of the control system based on neural network parameters hopfield
mouqou
- 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，关于非线性离散系统辨识。- BP neural network function fitting and pattern recognition, Using MATLAB dynamic clustering or iterative self-organizing data analysis, Nonlinear discrete system identification.
Water-Distribution-System-Modeling
- 基于系统辨识理论和数据驱动建模方法，建立了供水管网 NARX（Nonlinear Auto-Regressive with eXogenous Inputs）神经网络模型-Based on system identification theory and data driven modeling method, a neural network model of water supply network is established.
matlab
- 对具有随机噪声的二阶系统的模型辨识，进行标幺化以后系统的参考模型差分方程为 (7.90) 式中， 为随机噪声。由于神经网络的输出最大为1，所以，被辨识的系统应先标幺化，这里标幺化系数为5。利用图7.5正向建模(并联辨识)结构，神经网络选用3-9-9-1型，即输入层i，隐层j包括2级，输出层k的节点个数分别为3、9、9、1个； -Model identification of two order systems with stochastic noise
fanfei_v46
- 利用贝叶斯原理估计混合logit模型的参数，基于人工神经网络的常用数字信号调制，关于非线性离散系统辨识。- Bayesian parameter estimation principle mixed logit model, The commonly used digital signal modulation based on artificial neural network, Nonlinear discrete system identification.
juihan
- 关于神经网络控制，关于非线性离散系统辨识，matlab编写的元胞自动机。- On neural network control, Nonlinear discrete system identification, matlab prepared cellular automata.
m361l
- 利用神经网络离线去辨识逆模型系统，输入是随机的输入-Neural network offline inverse model identification
m361z
- 利用神经网络的方法去在线辨识逆系统，输入是随机的输入-Neural network inverse model identification online
m341l
- 应用神经网络的原理，利用串联-并联结构离线的去辨识正系统模型-Neural network is model identification online
lanjang
- 预报误差法参数辨识-松弛的思想，对HARQ系统的吞吐量分析，BP神经网络用于函数拟合与模式识别。- Prediction Error Method for Parameter Identification- the idea of relaxation, HARQ throughput analysis of the system, BP neural network function fitting and pattern recognition.
fingbie
- 预报误差法参数辨识-松弛的思想，感应双馈发电机系统的仿真，BP神经网络用于函数拟合与模式识别。- Prediction Error Method for Parameter Identification- the idea of relaxation, Simulation of doubly fed induction generator system, BP neural network function fitting and pattern recognition.
nonlinear-system-identification
- 基于BP算法的神经网络对一个非线性系统进行辨识，最终辨识达到稳定并有较小的辨识误差。-BP neural network algorithm is based on a nonlinear system identification, and ultimately to identify stable and has a small identification error.
Delphi_BP_identification
- BP神经网络系统参数辨识方法的dephi实现值得参考-BP NN system parameters identification dephi codes good performance
chengxu
- 程序功能分别实现了线性系统理论中传递函数和状态空间的相互转化，系统辨识中的递推最小二乘算法，免疫算法以及神经网络中的BP算法。-The program functions respectively realize the mutual transformation of transfer function and state space in the linear system theory, the recursive least squares algorithm in the system
sr864
- BP神经网络的整个训练过程,雅克比迭代求解线性方程组课设,关于非线性离散系统辨识。- The entire training process BP neural network, Jacobi iteration for solving linear equations class-based, Nonlinear discrete system identification.
gie_rc40
- 关于非线性离散系统辨识，关于神经网络控制，用于特征降维，特征融合，相关分析等。- Nonlinear discrete system identification, On neural network control, For feature reduction, feature fusion, correlation analysis.
biugie_v73
- BP神经网络用于函数拟合与模式识别，关于非线性离散系统辨识，对HARQ系统的吞吐量分析。- BP neural network function fitting and pattern recognition, Nonlinear discrete system identification, HARQ throughput analysis of the system.