Study of fish species discrimination via electronic nose
We distinguished three different fish species with an electronic nose. We reported a pattern recognition method to discriminate fish species. The proposed signal drift correction method increases discrimination success. The sub-sampling method to feature extraction increases discrimination success. The proposed classification algorithm increases discrimination success.
electronic nose fish discriminant linear discriminant analysis k-nearest neighbor hybrid binary decision tree structure