Generate Simulink block for shallow neural network simulation
gensim(net,st)
Type help network/gensim.
This function generates a Simulink® block for a shallow neural network. gensim does not
support deep learning networks such as convolutional or LSTM networks. For more information on
code generation for deep learning, see Deep Learning Code Generation.
gensim(net,st) creates a Simulink system containing a block that simulates neural network
net.
gensim(net,st) takes these inputs:
net | Neural network |
st | Sample time (default = 1) |
and creates a Simulink system containing a block that simulates neural network net
with a sampling time of st.
If net has no input or layer delays
(net.numInputDelays and net.numLayerDelays are both 0),
you can use –1 for st to get a network that samples continuously.
[x,t] = simplefit_dataset; net = feedforwardnet(10); net = train(net,x,t) gensim(net)