Comparative analysis of five neural network models

The performance of five neural networks are analyzed, using two data sets of silhouettes generated from wireframe models of four ground vehicles, one data set composed of silhouettes of two dissimilar‐shaped vehicles and the other set generated from two very similar‐shaped vehicles. The performances are measured by the rate of correct classifications of the test sets. The test design and test results are described for this process.