Robinson, Marc, authorAzimi-Sadjadi, Mahmood R., authorLi, Donghui, authorIEEE, publisher2007-01-032007-01-032004Li, Donghui, Mahmood R. Azimi-Sadjadi, and Marc Robinson, Comparison of Different Classification Algorithms for Underwater Target Discrimination, IEEE Transactions on Neural Networks 15, no. 1 (January 2004): 189-194.http://hdl.handle.net/10217/930Classification of underwater targets from the acoustic backscattered signals is considered here. Several different classification algorithms are tested and benchmarked not only for their performance but also to gain insight to the properties of the feature space. Results on a wideband 80-kHz acoustic backscattered data set collected for six different objects are presented in terms of the receiver operating characteristic (ROC) and robustness of the classifiers wrt reverberation.born digitalarticleseng©2004 IEEE.Copyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.probabilistic neural networks (PNNs)neural networksK-nearest neighbor (K-NN) classifiersupport vector machines (SVMs)underwater target classificationText