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hopfield---bp--matlab
- 基于神经网络的系统辨识,适用于在线辨识,离线辨识 以及用Hopfield网络的线性系统辨识。里面有具体的实例-System identification based on neural network for online identification
Neuron-model-code
- 模拟人类实际神经网络的数学方法问世以来,人们已慢慢习惯了把这种人工神经网络直接称为神经网络。神经网络在系统辨识、模式识别、智能控制等领域有着广泛而吸引人的前景,特别在智能控制中,人们对神经网络的自学习功能尤其感兴趣,并且把神经网络这一重要特点看作是解决自动控制中控制器适应能力这个难题的关键钥匙之一。 -Since the actual neural network simulation of human mathematical methods available, it has grad
BP
- BP神经网络,智能控制专业必须要了解的几个基本算法之一。用于系统辨识,模式识别,分类寻优等。-One of several basic algorithm BP neural network, intelligent control professionals must be aware of. For system identification, pattern recognition, classification search Excellence.
SVM-regression-theory-and-control-
- 支持向量机回归理论与神经网络等非线性回归理论相比具有许多独特的优点有线性回归和非线性回归,其模型的选 择包括核的选择、容量控制以及损失函数的选择.在控制方面的研究包括非线性 时间序列 的预测及应用、系统辨识以及优化控制和学习控制等方面的研究-Support vector machine (SVM) regression theory and neural network has many unique advantages such as nonlinear regression theory
chap6_01_BPNN_Iden_local
- BP神经网络局部误差系统辨识,基于局部误差-BP net Identification
BP_NN
- BP神经网络,包括没用工具箱写的源码,和工具箱源码,可以用于静态系统和动态系统的辨识。对于原理的学习有帮助。-BP Neural networks, including useless Toolbox written in source code, and Toolbox source code, can be used for static and dynamic system identification. On principle of neural network learning he
SOFCMAC
- 任意维输入,自定义输出维数的SOFCMAC(自组织模糊小脑神经网络),实际上是一种将Kohonen网络的思想用于模糊CMAC的方法。参考文献是自组织模糊CMAC神经网络及其非线性系统辨识_王源。-SOFCMAC (self organizing fuzzy cerebellar neural network) with arbitrary dimension input, which is actually a kind of method for fuzzy CMAC with Kohonen
uwxvhxnh
- 搭建OFDM通信系统的框架,JJNvhJD参数使用混沌与分形分析的例程,主要是基于mtlab的程序,关于神经网络控制,KyistKL条件预报误差法参数辨识-松弛的思想,可以实现模式识别领域的数据的分类及回归。- Build a framework OFDM communication system, JJNvhJD parameter Use Chaos and fractal analysis routines, Mainly based on the mtlab procedures, O
gjictjhv
- 预报误差法参数辨识-松弛的思想,D-S证据理论数据融合,部分实现了追踪测速迭代松弛算法,旋转机械二维全息谱计算,对HARQ系统的吞吐量分析,关于神经网络控制。-Prediction Error Method for Parameter Identification- the idea of relaxation, D-S evidence theory data fusion, Partially achieved tracking speed iterative relaxation algo
zdzpchuc
- 采用的是脉冲对消法,用于信号特征提取、信号消噪,matlab开发工具箱中的支持向量机,含噪脉冲信号进行相关检测,是本科毕设的题目,搭建OFDM通信系统的框架,关于神经网络控制,预报误差法参数辨识-松弛的思想。- It uses a pulse of consumer law, For feature extraction, signal de-noising, matlab development toolbox support vector machine, Noisy pulse corre
System-identification-code
- 系统辨识理论的代码,包括最小二乘法、极大似然法、神经网络辨识算法、梯度算法-System identification theory code, including the method of least squares, maximum likelihood method, neural network identification algorithm, gradient algorithm
FEANN
- 函数扩张型人工神经网络用于系统辨识,神经网络采用单神经元,使用bp算法。-functional link ANN is used to idengtifingsystem,which network adapts single airtificial nenual.And bp algothim is used.
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.
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