Beef Quality Assesment with Electronic Nose Based on an Application Specific Convolution Neural Network

This paper presents a convolutional neural network algorithm for the classification of beef samples electronic nose dataset. Proposed algorithm was tested, and results were compared to other works that used the same dataset. Overall proposed algorithm showed high performance results without any pre-processing steps.