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Search - adaptive learning rate matlab - List
[
Other resource
]
bp_moni
DL : 0
本例研究利用Matlab工具箱的BP网络仿真某系统故障的预测,假设3个故障的样本分别为(1 1 0), (0 1 1)(1 0 1), 3个故障分别编码为(1 0), (0 1), (1 1),下面利用BP工具函数设计网络,用自适应学习率算法进行BP的设计、训练和仿真。-cases using the Matlab toolbox BP network simulation of a system fault forecast Assuming three fault samples were (1 1 0), (0 1 1) (1 0 1) three failures were coded as (1 0), (0), (1), below BP network design tool function, Adaptive learning rate BP algorithm design, simulation and training.
Update
: 2008-10-13
Size
: 44.35kb
Publisher
:
yuzi
[
AI-NN-PR
]
bpexamples
DL : 0
使用MATLAB6.5实现的自适应学习速率反向传播网络-Matlab6.5 achieved using adaptive learning rate back-propagation network
Update
: 2025-04-26
Size
: 8kb
Publisher
:
陈雷
[
Other
]
bp_moni
DL : 0
本例研究利用Matlab工具箱的BP网络仿真某系统故障的预测,假设3个故障的样本分别为(1 1 0), (0 1 1)(1 0 1), 3个故障分别编码为(1 0), (0 1), (1 1),下面利用BP工具函数设计网络,用自适应学习率算法进行BP的设计、训练和仿真。-cases using the Matlab toolbox BP network simulation of a system fault forecast Assuming three fault samples were (1 1 0), (0 1 1) (1 0 1) three failures were coded as (1 0), (0), (1), below BP network design tool function, Adaptive learning rate BP algorithm design, simulation and training.
Update
: 2025-04-26
Size
: 44kb
Publisher
:
[
AI-NN-PR
]
BP
DL : 1
基于BP神经网络的 参数自学习控制 (1)确定BP网络的结构,即确定输入层节点数M和隐含层节点数Q,并给出各层加权系数的初值 和 ,选定学习速率 和惯性系数 ,此时k=1; (2)采样得到rin(k)和yout(k),计算该时刻误差error(k)=rin(k)-yout(k); (3)计算神经网络NN各层神经元的输入、输出,NN输出层的输出即为PID控制器的三个可调参数 , , ; (4)根据(3.34)计算PID控制器的输出u(k); (5)进行神经网络学习,在线调整加权系数 和 ,实现PID控制参数的自适应调整; (6)置k=k+1,返回(1)。 -Based on the parameters of BP neural network self-learning control (1) to determine the structure of BP network, that is, determine the input layer nodes M and hidden layer nodes Q, and gives all levels of the initial value and the weighted coefficient, the selected learning rate and inertia coefficient, when k = 1 (2) sample has been rin (k) and the yout (k), calculate the moment of error error (k) = rin (k)-yout (k) (3) calculation of neural network NN all floors of the neurons in input and output, NN output layer is the output of PID controller for the three adjustable parameters,, (4) According to (3.34) Calculation of PID controller output u (k) (5) to carry out neural network learning, on-line adjustment of the weighted coefficient and, realize the adaptive PID control parameters adjust (6) purchase k = k+ 1, return (1).
Update
: 2025-04-26
Size
: 1kb
Publisher
:
dake
[
matlab
]
train_bp_4
DL : 0
自适应学习率调整法训练BP网络,讲解详细-Adaptive learning rate adjustment method training BP network, explain in detail
Update
: 2025-04-26
Size
: 1kb
Publisher
:
ting
[
Program doc
]
nlms2
DL : 0
NLMS algorithm demo with adaptive learning rate. ... NLMS is one of the adaptive filter algorithms. In this file ,an ... pls send matlab code.
Update
: 2025-04-26
Size
: 2kb
Publisher
:
hedi
[
matlab
]
bzxkthjs
DL : 0
一些自适应信号处理的算法,给出接收信号眼图及系统仿真误码率,粒子图像分割及匹配均为自行编制的子例程,课程设计时编写的matlab程序代码,保证准确无误,是学习通信的好帮手,通过反复训练模板能有较高的识别率,单径或多径瑞利衰落信道仿真。- Some adaptive signal processing algorithms, The received signal is given eye and BER simulation systems, Particle image segmentation and matching subroutines themselves are prepared, Course designed to prepare the matlab program code, Ensure accurate communication is learning a good helper, Through repeated training FRMNYdIlate have higher recognition rate, Single path or multipath Rayleigh fading channel simulation.
Update
: 2025-04-26
Size
: 5kb
Publisher
:
begfdunaj
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