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kingder
- 基于DRNN的神经网络整定参数自学习的PID控制仿真-DRNN based on neural network tuning parameters since learning PID Control Simulation
chap6_5
- 基于DRNN神经网络整定的PID控制，matlab程序-DRNN based neural network tuning PID control, Matlab procedures
DRNN
- 对角回归型神经网络的逼近对象程序，可以参考！希望能对大家有所帮助！-right angle regression neural network approximation object, we can make reference! The hope is to help everyone!
6
- 详细的介绍了先进PID多变量解耦控制，及基于单神经元和DRNN神经元的PID解耦控制，内有详尽的源代码
DRNNXX
- 这是我写的关于对角递归神经网络的程序，或许对你有所帮助。-This is written about me on the diagonal recurrent neural network procedures, may be helpful to you.
DRNN
- 采用基于DRNN神经网络整定的PID控制，网络结构取3-7-1，权值取随机值-PID controled by drnn network
DRNN
- DRNN实例运用编程，而且对其输出层加了一个反馈。-DRNN example the use of programming, and its output layer add a feedback.
chap6_3
- 采用DRNN神经网络整定的PID解耦程序，非常实用的哦。-DRNN using neural network-tuning PID decoupling of the process, oh, very practical.
chap7_4
- drnn网络逼近仿真实例，包括网络训练程序和网络测试程序-drnn
chap6_5
- 基于DRNN神经网络整定的PID控制<先进PID控制与matlab仿真>第六章-DRNN-based neural network tuning of PID control（advanced PID control simulation matlab） Chapter VI
DRNNTunningPIDControlerforcouplingplant
- DRNN神经网络自学习PID解藕控制，与PID相比具有抗干扰能力强特点-DRNN self-learning neural network PID control solution lotus, compared with PID characteristics of anti-interference ability
2006215105628
- DRNN的应用好文章，欢迎下载！ -DRNN very good!
BP-RBF-DRNN-Network-follow
- BP神经网络，RBF神经网络的辨识跟踪程序，含有很详细的注释！-BP neural network, RBF neural network identification tracking program, with very detailed notes!
DRNNXX
- DRNN网络简单代码，n个样本个数，输出为权值矩阵-DRNN network of simple code, n the number of samples, the output weight matrix
DRNN
- 基于DRNN神经网络的PID解耦控制，程序中的对象为一个二变量耦合被控对象-DRNN neural network PID decoupling control procedures based on the object to a two-variable coupling controlled object
chap6_5
- 调整PID控制器耦合DRNN植物-Adjust the PID controller is coupled the DRNN plants. . . . . . . . .
DRNN
- 介绍了关于神经网络DRNN的几篇文章，适合刚入门的学习并防止。-Introduced articles About the DRNN the neural network, to learn and to prevent just getting started.
activity-recognition-based-on-DRNN
- 基于多层神经网络的人类活动识别，智能家居领域的一项重大突破。-Activity recognition has received increasing attention from the machine learning community. Of particular interest is the ability to recognize activities in real time streaming data, but this presents a number of
chap1
- 先进pid多变量控制，单神经元pid控制，基于drnn神经网络整定的pid控制(Advanced PID multivariable control, single neuron PID control, PID control based on DRNN neural network tuning)
对角递归
- 用于时间序列的训练以及预测。非常实用，需要的可以下载看看。(DRNN ee e fwasfegadff)