DL models were trained and used to classify themid-infrared spectra were used as input data, while the model outputs were the mosquito age classes.
Three different deep learning models were trained; Convolutional neural network model without dimensionality reduction, Multi-Layer Perceptron with PCA as dimensionality reduction, and MLP with t-SNE as dimensionality reduction. For all models, a SoftMax layer was added to transform the non-normalized outputs of-units in a fully connected layer into a probability distribution of belonging to either one of two age classes .
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