How to useParallel in system identification?
4 次查看(过去 30 天)
显示 更早的评论
Is there a way to use 'useParallel' on the nlarx function in the system identification, like with the train function in the deep learning toolbox? I'm using neuralnet as the nonlinearity. Here's the training section of my script:
%% Training
na = 3;
nb = [3 1 1];
nk = [0 0 0];
net = feedforwardnet(10);
net.trainParam.epochs = 5000;
nonlinearity = neuralnet(net);
sys = nlarx(zt, [na nb nk], nonlinearity);
Any help is greatly appreciated!
0 个评论
采纳的回答
Rajiv Singh
2019-8-16
Currently there is no way to parallelize model estimation in System Identification Toolbox.
0 个评论
更多回答(0 个)
另请参阅
类别
在 Help Center 和 File Exchange 中查找有关 Sequence and Numeric Feature Data Workflows 的更多信息
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!