model_NeuralNetwork: Fitting Neuralnet Models
In EventDetectR: Event Detection Framework
Description
Usage
Arguments
Details
Value
View source: R/model_NeuralNetwork.R
Description
Fitting Neuralnet Models
Usage
1
model_NeuralNetwork(x, control)
Arguments
x
data
control
control list with settings
Details
Multivariate Neuralnetwork model is formulated for each of the parameter using its own lagged values and rest of all parameters involved. For instance, considering 3 parameters 'p1', 'p2', 'p3', the value of 'p1' at time step 'i' is calclated as
p1[i] = p2[i] + p3[i] + p1[i-1]
It is recommended to activate the normalization of the data.
Value
fitted multivariate neural network model
EventDetectR documentation built on Jan. 13, 2021, 9:02 a.m.
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Description Usage Arguments Details Value
View source: R/model_NeuralNetwork.R
Description
Fitting Neuralnet Models
Usage
1 | model_NeuralNetwork(x, control)
|
Arguments
x |
data |
control |
control list with settings |
Details
Multivariate Neuralnetwork model is formulated for each of the parameter using its own lagged values and rest of all parameters involved. For instance, considering 3 parameters 'p1', 'p2', 'p3', the value of 'p1' at time step 'i' is calclated as
p1[i] = p2[i] + p3[i] + p1[i-1]
It is recommended to activate the normalization of the data.
Value
fitted multivariate neural network model
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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