Adaptive Mechanism for GA-NN to Enhance Prediction Model
This research presents a hybrid Genetic Algorithm Neural Network (GA-NN) model to replace the physical tests procedures of Medium Density Fiberboard (MDF). Emphasis is on applying an adaptive mechanism on GA to enhance model performance. Data included in the model is MDF properties and its fiber cha...
Saved in:
Main Authors: | Faridah Sh Ismail, Nordin Abu Bakar, (UniKL MIIT) |
---|---|
Format: | |
Published: |
ACM
2015
|
Subjects: | |
Online Access: | http://localhost/xmlui/handle/123456789/9715 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Optimization of artificial neural network (ANN) models using different training algorithms for air quality prediction
by: Nur Natasha Abdul Samat, et al.
Published: (2023) -
Prediction model for spectroscopy using Python programming
by: A. A. M., Ismail, et al.
Published: (2022) -
Predicting direction of stock price index volatility using genetic algorithms and artificial neural network models in Tehran Stock Exchange
by: Vahid Amin, et al.
Published: (2015) -
Adaptive neuro-controller based on IMAC scheme for InnoSAT control
by: Norhayati, M. N., et al.
Published: (2013) -
Model reference adaptive neuro-controller with on-line parameter estimation
by: Siti Maryam, Sharun, et al.
Published: (2012)