Future Daily PM10 Concentrations Prediction In Malaysia Using Artificial Neural Networks, Stochastic Regression And Hybrid Models

Yahaya, Ahmad Shukri and Ramli, Nor Azam and Md Yusof, Noor Faizah Fitri (2015) Future Daily PM10 Concentrations Prediction In Malaysia Using Artificial Neural Networks, Stochastic Regression And Hybrid Models. Project Report. Universiti Sains Malaysia. (Submitted)

Full text not available from this repository.
Item Type: Monograph (Project Report)
Subjects: T Technology > TA Engineering (General). Civil engineering (General) > TA1-2040 Engineering (General). Civil engineering (General)
Divisions: Kampus Kejuruteraan (Engineering Campus) > Pusat Pengajian Kejuruteraan Awam (School of Civil Engineering) > Monograph
Depositing User: Mr Mohd Fadli Abd Rahman
Date Deposited: 08 Dec 2017 07:45
Last Modified: 21 Sep 2022 08:00
URI: http://eprints.usm.my/id/eprint/37861

Actions (login required)

View Item View Item
USM Repository is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.
Share