Fig. 6: Deep learning architectures for the empirical experiments of the automobile exhaust gases. | Nature Communications

Fig. 6: Deep learning architectures for the empirical experiments of the automobile exhaust gases.

From: Data-centric artificial olfactory system based on the eigengraph

Fig. 6: Deep learning architectures for the empirical experiments of the automobile exhaust gases.The alt text for this image may have been generated using AI.

a DNN (Deep neural network) b CNN (Convolution neural network) architecture. c CNN-LSTM (Long-short term memory) architecture. d Summary of the parameter settings according to the deep learning architecture.

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