Univariate Artificial Neural Network In Forcasting Demand Of Low Cost House In Petaling Jaya
Recently researchers have found the potential applications of Artificial Neural Network (ANN) in various fields in civil engineering. Many attempts to apply ANN as a forecasting tool has been successful. This paper highlighted the application of Time Series Univariate Neural Network in forecasting t...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Penerbit UTM Press
2004
|
| Subjects: | |
| Online Access: | http://eprints.utm.my/1538/1/JTJUN40B05.pdf |
| _version_ | 1796853265217880064 |
|---|---|
| author | Bakhary, Norhisham Yahya, Khairulzan Ng Chin, Nam |
| author_facet | Bakhary, Norhisham Yahya, Khairulzan Ng Chin, Nam |
| author_sort | Bakhary, Norhisham |
| collection | ePrints |
| description | Recently researchers have found the potential applications of Artificial Neural Network (ANN) in various fields in civil engineering. Many attempts to apply ANN as a forecasting tool has been successful. This paper highlighted the application of Time Series Univariate Neural Network in forecasting the demand of low cost house in Petaling Jaya district, Selangor, using historical data ranging from February 1996 to April 2000. Several cases of training and testing were conducted to obtain the best neural network model. The lowest Root Mean Square Error (RMSE) obtained for validation step is 0.560 and Mean Absolute Percentage Error (MAPE) is 8.880 %. These results show that ANN is able to provide reliable result in term of forecasting the housing demand based on previous housing demand record. |
| first_indexed | 2024-03-05T17:56:55Z |
| format | Article |
| id | utm.eprints-1538 |
| institution | Universiti Teknologi Malaysia - ePrints |
| language | English |
| last_indexed | 2024-03-05T17:56:55Z |
| publishDate | 2004 |
| publisher | Penerbit UTM Press |
| record_format | dspace |
| spelling | utm.eprints-15382017-11-01T04:17:37Z http://eprints.utm.my/1538/ Univariate Artificial Neural Network In Forcasting Demand Of Low Cost House In Petaling Jaya Bakhary, Norhisham Yahya, Khairulzan Ng Chin, Nam TA Engineering (General). Civil engineering (General) Recently researchers have found the potential applications of Artificial Neural Network (ANN) in various fields in civil engineering. Many attempts to apply ANN as a forecasting tool has been successful. This paper highlighted the application of Time Series Univariate Neural Network in forecasting the demand of low cost house in Petaling Jaya district, Selangor, using historical data ranging from February 1996 to April 2000. Several cases of training and testing were conducted to obtain the best neural network model. The lowest Root Mean Square Error (RMSE) obtained for validation step is 0.560 and Mean Absolute Percentage Error (MAPE) is 8.880 %. These results show that ANN is able to provide reliable result in term of forecasting the housing demand based on previous housing demand record. Penerbit UTM Press 2004-06-03 Article PeerReviewed application/pdf en http://eprints.utm.my/1538/1/JTJUN40B05.pdf Bakhary, Norhisham and Yahya, Khairulzan and Ng Chin, Nam (2004) Univariate Artificial Neural Network In Forcasting Demand Of Low Cost House In Petaling Jaya. Jurnal Teknologi B (40B). pp. 67-75. ISSN 0127-9696 |
| spellingShingle | TA Engineering (General). Civil engineering (General) Bakhary, Norhisham Yahya, Khairulzan Ng Chin, Nam Univariate Artificial Neural Network In Forcasting Demand Of Low Cost House In Petaling Jaya |
| title | Univariate Artificial Neural Network In Forcasting Demand Of Low Cost House In Petaling Jaya |
| title_full | Univariate Artificial Neural Network In Forcasting Demand Of Low Cost House In Petaling Jaya |
| title_fullStr | Univariate Artificial Neural Network In Forcasting Demand Of Low Cost House In Petaling Jaya |
| title_full_unstemmed | Univariate Artificial Neural Network In Forcasting Demand Of Low Cost House In Petaling Jaya |
| title_short | Univariate Artificial Neural Network In Forcasting Demand Of Low Cost House In Petaling Jaya |
| title_sort | univariate artificial neural network in forcasting demand of low cost house in petaling jaya |
| topic | TA Engineering (General). Civil engineering (General) |
| url | http://eprints.utm.my/1538/1/JTJUN40B05.pdf |
| work_keys_str_mv | AT bakharynorhisham univariateartificialneuralnetworkinforcastingdemandoflowcosthouseinpetalingjaya AT yahyakhairulzan univariateartificialneuralnetworkinforcastingdemandoflowcosthouseinpetalingjaya AT ngchinnam univariateartificialneuralnetworkinforcastingdemandoflowcosthouseinpetalingjaya |