Determination of Optimal Initial Weights of an Artificial Neural Network by Using the Harmony Search Algorithm: Application to Breakwater Armor Stones

Determination of Optimal Initial Weights of an Artificial Neural Network by Using the Harmony Search Algorithm: Application to Breakwater Armor Stones

In this study, an artificial neural network (ANN) model is developed to predict the stability number of breakwater armor stones based on the experimental data reported by Van der Meer in 1988. The harmony search (HS) algorithm is used to determine the near-global optimal initial weights in the train...

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Bibliographic Details
Main Authors: Anzy Lee, Zong Woo Geem, Kyung-Duck Suh
Format: Article
Language:English
Published: MDPI AG 2016-05-01
Series:Applied Sciences
Subjects:
armor stones
artificial neural network
harmony search algorithm
rubble mound structure
stability number
Online Access:http://www.mdpi.com/2076-3417/6/6/164

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