Consolidated backpropagation neural network for Malaysian construction costs indices data with outliers problem
Neurocomputing has been adjusted effectively in time series forecasting activities, yet the vicinity of exceptions that frequently happens in time arrangement information might contaminate the system preparing information. This is because of its capacity to naturally realise any example without earl...
Main Authors: | Ahmad Kamaruddin, Saadi, Md Ghani, Nor Azura, Ramli, Norazan Mohamed |
---|---|
Format: | Article |
Language: | English English |
Published: |
Universiti Putra Malaysia
2018
|
Subjects: | |
Online Access: | http://irep.iium.edu.my/64133/ http://irep.iium.edu.my/64133/ http://irep.iium.edu.my/64133/1/64133_Consolidated%20Backpropagation%20Neural%20Network_article.pdf http://irep.iium.edu.my/64133/2/64133_Consolidated%20Backpropagation%20Neural%20Network_scopus.pdf |
Similar Items
-
Finite volume method for a Keller-Segel problem
by: Messikh, C, et al.
Published: (2018) -
Comparing numerical methods for solving Chaotic and
Stiff Initial Value Problems (IVPs)
by: Chowdhury, Md. Sazzad Hossien
Published: (2018) -
Variable viscosity of Casson fluid flow over a stretching sheet in porous media with Newtonian heating
by: Ahmad, Kartini, et al.
Published: (2018) -
Stagnation-point flow of Casson fluid in Darcy-Forchheimer porous media with newtonian heating effect
by: Ahmad, Kartini, et al.
Published: (2019) -
Application of homotopy perturbation method for numeric–analytic solution of system of hyperchaotic ODEs
by: Chowdhury, Md. Sazzad Hossien, et al.
Published: (2018)