Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10322973 | Expert Systems with Applications | 2011 | 14 Pages |
Abstract
⺠An expert system is developed based on wavelet transform and radon neural network (WRNN) for pavement distress classification. ⺠Classification is performed using the neural network. ⺠Feature extracted from wavelet decomposition and radon transform. ⺠The wavelet decomposition and the radon transform have been demonstrated to be an effective tool for feature selecting for neural network.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Fereidoon Moghadas Nejad, Hamzeh Zakeri,