I’d like to create a model to predict two output signals based on the following seven input signals, by using Statistics and Machine Learning Toolbox.

This csv is a the data (about 4,200 rows) used as training data.
This data is a time series every 0.025 seconds.
I think the model type is Regressin model if you create a model from this data.

(Data type of each Signal is double type.)

Input Signals：
V_TGT_Vehicle
P_DCDC_PNT_W
P_HVAC_PNT_W
SOC_BT_Hi_PNT_per
open_accel_Driver_per
open_break_Driver_per
w_MG_PNT_radps

Output Signals：
trq_MG2_tgtCalc1
trq_MG2_tgtCalc2

I’ve been going through Statistics and Machine Learning Toolbox documentation, I’m not sure if it’s possible to create a machine learning model like above.
I’d like to export the model as Simulink block.
Do you have any ideas?
How do I make this with Statistics and Machine Learning Toolbox?I’d like to create a model to predict two output signals based on the following seven input signals, by using Statistics and Machine Learning Toolbox.

This csv is a the data (about 4,200 rows) used as training data.
This data is a time series every 0.025 seconds.
I think the model type is Regressin model if you create a model from this data.

(Data type of each Signal is double type.)

Input Signals：
V_TGT_Vehicle
P_DCDC_PNT_W
P_HVAC_PNT_W
SOC_BT_Hi_PNT_per
open_accel_Driver_per
open_break_Driver_per
w_MG_PNT_radps

Output Signals：
trq_MG2_tgtCalc1
trq_MG2_tgtCalc2

I’ve been going through Statistics and Machine Learning Toolbox documentation, I’m not sure if it’s possible to create a machine learning model like above.
I’d like to export the model as Simulink block.
Do you have any ideas?
How do I make this with Statistics and Machine Learning Toolbox? I’d like to create a model to predict two output signals based on the following seven input signals, by using Statistics and Machine Learning Toolbox.

This csv is a the data (about 4,200 rows) used as training data.
This data is a time series every 0.025 seconds.
I think the model type is Regressin model if you create a model from this data.

(Data type of each Signal is double type.)

Input Signals：
V_TGT_Vehicle
P_DCDC_PNT_W
P_HVAC_PNT_W
SOC_BT_Hi_PNT_per
open_accel_Driver_per
open_break_Driver_per
w_MG_PNT_radps

Output Signals：
trq_MG2_tgtCalc1
trq_MG2_tgtCalc2

I’ve been going through Statistics and Machine Learning Toolbox documentation, I’m not sure if it’s possible to create a machine learning model like above.
I’d like to export the model as Simulink block.
Do you have any ideas?
How do I make this with Statistics and Machine Learning Toolbox? machine learning MATLAB Answers — New Questions

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