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