Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6923455 | Computers & Geosciences | 2012 | 10 Pages |
Abstract
⺠We developed and applied a hybrid neural network for grade estimation. ⺠The new method is composed of ANN, FL and GA. ⺠This method removes the limitation of hybrid neural-fuzzy networks. ⺠The proposed hybrid network has less user-dependent parameters.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Pejman Tahmasebi, Ardeshir Hezarkhani,