Skip to Main Content
ASME Press Select Proceedings

Intelligent Engineering Systems through Artificial Neural Networks

Editor
Cihan H. Dagli
Cihan H. Dagli
Search for other works by this author on:
K. Mark Bryden
K. Mark Bryden
Search for other works by this author on:
Steven M. Corns
Steven M. Corns
Search for other works by this author on:
Mitsuo Gen
Mitsuo Gen
Search for other works by this author on:
Kagan Tumer
Kagan Tumer
Search for other works by this author on:
Gürsel Süer
Gürsel Süer
Search for other works by this author on:
ISBN:
9780791802953
No. of Pages:
636
Publisher:
ASME Press
Publication date:
2009

In this paper, we study a real multi-classification problem. The goal is to predict the weathering degrees of drilling core samples in situ, on the basis of their color. These weathering degrees (6 classes) are provided by an expert (geologist) and validated by chemical analysis. Our objective is to build a classifier making possible the prediction of the weathering degrees according to the color parameters measured with a spectrophotometer. After choosing the colorimetric system, we propose a features selection method. Then, we build two classifiers: one based on a perceptron multi-layer neural network (NN) and the other based on the fuzzy k-nearest-neighbor (knn) methods. Comparison of results between the methods used and other classical ones are given.

You do not currently have access to this chapter.
Close Modal
This Feature Is Available To Subscribers Only

Sign In or Create an Account

Close Modal
Close Modal