[Response] Thanks for your comments. We have added more
details as suggested. Each recorded spectrum was obtained by averaging
16 scans at a resolution of 4 cm-1. Each sample was
measured three times. The average of the three spectra obtained from
each same sample was used in subsequent analysis. The spectra file of
samples was pretreated through normalization to reduce measurement
error. Each spectrum was aligned to the baseline using instrumentation
software. Line 139-143
12. line 126 Do ”oil extracts” refer to oil extracted from the French
fries? What does ”extracts” refer to?
[Response] The oil extracts refer tooil extracted from the
French fries. Line 144
13.line
132 The author did not provide enough details about how he/she developed
the ANN model. The description is very general.
For example, what were the settings
that he/she used for the construction of the hidden layer? Did he/she
use a specific random seed for the validation? Did he/she use boosting?
Did he/she apply any
penalty
method?
[Response] Thanks for your comments. We have added more
details as suggested.Through parameter
optimization in the pre-experiment, the best BP-ANN model was obtained
with the neuron number of 10 in hidden layer, the training function of
trainlm, and the transfer functions of tansig and purelin in hidden
layer and output layer, respectively, without using the boosting and
penalty method. Line 154-157
14. line 147 It is not clear what the author means with 156 sets of
data. Does each dataset represent
spectra
of extracted oil from French fries fried in a specific oil for 3 days?
Please, clarify this point thoroughly.