搜索资源列表
yang_RBF
- 一种最小二乘法的RBF神经网络，用于对复杂系统的辨识研究-A least squares method of RBF neural network for identification of complex systems research
matlab
- 【1】随机序列产生程序 【2】白噪声产生程序 【3】M序列产生程序 【4】二阶系统一次性完成最小二乘辨识程序 【5】实际压力系统的最小二乘辨识程序 【6】递推的最小二乘辨识程序 【7】增广的最小二乘辨识程序 【8】梯度校正的最小二乘辨识程序 【9】递推的极大似然辨识程序 【10】Bayes辨识程序 【11】改进的神经网络MBP算法对噪声系统辨识程序 【12】多维非线性函数辨识程序的Matlab程序 【13】模糊神经网络解耦M
trn_2in
- 模型辨识 模糊神经网络 T-S模型 输入输出 前提参数 结论参数-Model Identification of TS Fuzzy Neural Network model input and output parameters of the premise parameters Conclusion
trn_1in
- 模型辨识 模糊神经网络 T-S模型 输入输出 隶属度函数-Model Identification of TS Fuzzy Neural Network model input and output membership function
BBOPbp
- 将生物地理学优化算法训练BP神经网络的权值，并将BP网络用于非线性系统辨识。-Biogeography optimization algorithm to train the BP neural network weights, and BP network for nonlinear system identification.
bianshi
- 用BP网络逼近某曲线函数，在神经网络中邮广泛的应用 是系统辨识的基础。 通过反馈来不断的调整系数，限制了最大循环次数 防止进入死循环，当然如果想要得到更精确的系数可以增大循环次数。 -Using BP network function approximation to a curve, mail is widely used in neural network is the basis of system identification. Through feedback t
rbf-net
- 关于rbf神经网络辨识的一个例子。通过此例子将对rbf神经网络的辨识的编写有个很好的理解》-About rbf neural network identification of an example.
jiyuMBPbianshi
- 系统辨识中，基于改进的神经网络MBP算法对噪声系统辨识程序-System identification, improved neural network algorithm based on the noise MBP system identification procedures
jiekang
- 预报误差法参数辨识-松弛的思想，PLS部分最小二乘工具箱,基于人工神经网络的常用数字信号调制。- Prediction Error Method for Parameter Identification- the idea of relaxation, PLS PLS toolbox, The commonly used digital signal modulation based on artificial neural network.
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.
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.
overhend
- 基于小波神经网络辨识的PID神经模型源程序,不错的源码 很好(The PID neural model based on wavelet neural network to identify the source program, a good source is very good)
ljbc5
- 对具有随机噪声的二阶系统的模型辨识(用改进的神经网络MBP算法辨识,(For the second order system with random noise model identification (with the modified MBP neural network algorithm of identification,)
owtimized-bnstruction
- 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)
RBF系统辨识
- 为系统辨识，神经网络初学者提供一种简单的程序设计方法，希望大家多多共享，互利互惠。(In order to identify the system, the beginners of the neural network provide a simple method of programming. We hope that all of us can share more, mutual benefit and mutual benefit.)
chap6
- 神经网络简单介绍，BP神经网络在线和离线辨识，RBF神经自适应控制。(Neural network is introduced simply, BP neural network is identified online and offline, and RBF neural adaptive control.)