An approach to classification of psychological testing using neural networks

Self-organizing mapping, an unsupervised learning algorithm, is applied. The accuracy of this approach has been tested using 282 students' psychological testing. Through analyzing the weights of networks, a suggestion for improving the inventory is provided.