Multi Layer Perceptron Modelling in the Housing Market

Authors

  • Ku Ruhana Ku Mahamud School of Information Technology, Universiti Utara Malaysia, Malaysia
  • Azuraliza Abu Bakar School of Information Technology Universiti Utara Malaysia, Malaysia
  • Norita Md. Norwawi School of Information Technology Universiti Utara Malaysia, Malaysia

DOI:

https://doi.org/10.32890/mmj1999.3.1.5

Abstract

The study examines the use of multi layer perception network (MLP) in predicting the price of terrace houses in Kuala Lumpur (KL). Nine factors that significantly influence the price were used in this attempt. Housing data from 1994 to 1996 were presented to the network for training. Tested results from the model obtained for various years were compared using regression analysis. The study provides the predictive ability of the trained MLP model that can be used as an alternative predictor in real estate analysis.

 

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Analisis Artificial Intelligence, New York: MacMillan Pelaburan Saham Dengan Rangkaian Neu-Publication Co. ral, Prosiding Simposium Kebangsaan Sains = APPENDIX ~) Year |L/area |H/type |O/ship [B/area [Age [Dist [A/qity [B/qity [A/price Piprice 1[ 1997) 721] 0.67] o| 122] __5| 42] 1.00] 1.00] 245500| 217402 D 2/1997) 184 000) 1) 74 4 10[ 1.00] 1.00] 95000] 216592 3/1997) 55) 0.67 1 85 77) 100) 7.00] 150000| 138773 Q 41997) 262 0a of _t29| 7] 147] 1.00] 1.00] 330000] 259652 5/1997) 3174| 0.67 o| 136 12 16| 1.00[ 1.00] 230000] 236496. 6[1997| 134] 067 | 135[ Of a 1.00] 147750] 224503 7/1997) 130[__0.67/ 1) 1427) 0 17|_1.00| 1.00] 146000] 214065 8/1997) 3130| 067 1) 1460| OO) 18) 0.50{ 1.00 156000] 227959] - 9/1997) 130 oat 1) 160 of 18{ 0.50] 1.00] 146000] 227959] 10] 1997| _130| 0.67 1) 160) 0| 18{_ 0.50 1.00] 156000] 227959] ) 11] 1997[ 227] _ 0.00] of 8817| 146| 1.00] 1.00] 205000] 210900 12[ 1997] 55) 067 0 93 6 18 1.00 1.00] 151000] 123291 ~) 13/1997) 13) O7) 1) 1426| o| 18[ 0.50] 1.00] 140363] 192848] 14/1997) 134 067 | 1426| of 18) 050 1001147750 192848. 15[1997| 82 06 | 55[_ 11] 18{_0.50{ 0.50| 86000] 80879. — 16[1997| 88! 067 11 B6 41] 15[ 0.50 050 10000136332 17/1997) 292) 000) O0| 4 5 16) 1.00] 1.00] 264000] 220563] - 18/1997) 223) 087 0! 120 | _15| 1.00] 1.00 150000) 240789 191997) 161) 067 0! 130! 2| 144 100 1.00] 213500] 2309016 20/1997) 189 067 of 130 2 144 100) 1.00] 212000] 2432571-21/1997) 130| 067 1! 160) 0) 47| 0.50] 1.00] 156000] 233640 22/1997) 3133| 067 of 1430| 377) 1.00 1.00] 130000] 202044 23/1997) 164 0.67 of 109 of 17) 1.00| 1.00] 133888] 191520) —. 24/1997) 3177|) 067) 0 160 2 144 1.00] 1.00] 2244401 332179—25/1997) 167| 067 1) 176! 1412| 10! 1.00) 1.00] 465000) 328853).. 26/1997) 1779| 0.00 1! 178! 18/44 1.00 1.00/350000/ 306316 Q. 27[1997| 174] 067 1) 160 20| 8| 1.00! 1.00 565000] 329690 28/1997) 7178| 067 | 1457| 24 8 1.00] 7.00] 440000] 330068} — 29/1997) 1433| 0.00 0175) 26) 14! 0.50] 0.50] 128000] 126666] J 30[1997| 52| c67 1) B80 10 12{ 0.50 0.50] 110000) 126361 31/1997) 176] 0.00 of 88! 17| 16) 1.00) 1.00] 130000] 177582 ( | 32/1997) 149] 0.00 83 27) 15| 0.50] 0.50] 120000] 155205 33/1997) 55] 0.67 57! 8| 12| 0.50{ 0.50| 97000| 103802 1997| 3137| 0.00 76[ 23] 10) 0.50] 0:50) 105000 168824 35/1997) 143] _ 0.00 95/ 28) 12! 0.501 0.50] 175000] 183069 36/1997) 3149| 0.00 101| 28) 12| 0:50) 0.50 130000 192211 371997) 148) 0.67 127| 34! 12| 0.50| 0.50] 120000] 232673} 38] 1997| 3127| 0.00 99! 24| 15| 0.50] 0.50] 140000) 161447 39] 1997] 82) 0. 40/1997 66] (0. 41] 1997} 133] 0.00) 42) 1997] 82} 067) 1 431997 55| 0. t 88/11/20] 0.50{ 0.50] 125000’ 87300) 62] 8| 8 0.50] 0.50] 96000 136775] 83] 27/14] 0.50; _0.50| 97000 135819) 89] 16[ 15] 0.50] 0.50] 180000 119111 80} 10} 12) 0.50] 0.50} 143000 129679) =Jolo}alo}a)/—)}/4]] of. Malaysian Management Journal 3 (1), 61-69 (1999) //mmj.uum.edu.my http 44] 1997, 100| 0.67 1 94 8] 12] 1.00] 1.00] 165000] 197195 45| 1997 155| 0.67 o| 1447/4 147 0.:50| 0.50] 250000] 214200) 46| 1997 784| 0.00] 1 74) 14] 10) 1.00) 1.00| 95000/ 216592 47|1997| 108) 067 1 1401| 7|_ 12[ 1.00] 1.00) 162888] 207849 48| 1997| 196| 0.67 o| 155; 13] 6| 0.50] 0.50| 320000] 290556 49|1997| 106] 0.67 1) 1391| 3) 15! 1.00{ 1.00] 210000] 220583 50| 1997] _305| 0.67 4|__129[ 10] 13] 1.00/ 1.00] 300000] 320715 51/1997; 82| 0.67 1 97) 17| 10| 0.50/ 0.50] 140000] 174639 52} 1997| 116] 067 4130] 25] _ 8] 0.50] 0.50) 220000] 240503] 53/1997) 254 0.67| 1! 131) 13) 14] 1.00] 1.00] 350000] 296150 54/1997; 55] 0.67 o| 93! 7! 7| 050/ 0:50 150000152721 55/1997) 108] 0.67 10 102! 7! 12| 1.00 1.00/218000/208924 5619977) 82 0.67 1 97) 17| 12; 0.50! 0.50/165000/163289 57/1997 55| 067 0| 83! 14 6 050! 0.50! 90000150847 58/ 1997| 250| 0.00 1 92) 28] 12| 0.50! 0.50! 260000/ 226944 59] 1997] 199] 0.67 1{ 1776! 10! 16/ 1.00) 1.00] 480000] 307955 60| 1997| 178| 0.67 14) 127) 25| 4| 1.00] 1.00] 430000] 320704 61/1997] 223) 0.67 1{ 157) 4] 11/ 1.00] 1.00] 410000/ 323485 62/1997) 149] 0.67 11 166! 15! 12] 1.00] 1.00] 300000] 300141 63] 1997| _153| 0.67 o| 1457 19) 20] 0.50] 0.50] 170000] 184149 64] 1997| 174] 067 o| 168) 18| 22| 0.50] 0.50] 240000] 206516. 65| 1997; 175| 0.67 1/146] 20/ 12/ 1.00] 1.00] 380000] 292251 66 1997| 3130| 067 | 427) 1| 147) 1.00| 1.00/146000/ 214529 67 1997| 130) 0.67 1) 1460| 1| 18| 0:50| 0.50/ 156000] 211187 68/1997; 98| 0.00 o| 98] 17] 16] 1.00] 1.00] 205000] 154065 6911997| 55| 0.67 Oo} 93! 6 18] 1.00] 1.00] 151000] 123291 70/ 1997| 134] 0.67 11 1426| 1] 18] 0.50] 0.50] 140363] 176076) 71/1997) 82| 067 1 55| 11) 18| 0.50] 0.50] 86000] 80879) 72| 1997/88] 067 1 88) 11| 15| 0.5¢] 0.50] 110000] 136332 73/1997) 223] 0.67 o| 1420 1| 15) 100! 1.00 150000/241259 74/1997) 130) 067 0| 130! 2| 14! 1.00) 1.00 213500] 217267 75/1997) 130) 067 0! 130 2) 14 1.00) 1.00 212000/217267 76/1997) 167) 0.67 11 165! 19! 13| 1.001 1.00| 420000] 303181 77[1997| 143) 0.67 11 151 23) 42) 0.50] 0.50] 275000] 251535 78] 1997{ 153] 0.67 of 161! 20| 12| 0.50] 0.50] 25000) 247361 79/1997) 153| 0.67 1) 132) 19] 13] 0.59! 0.50] 230000) 227781 8o| 1997/1749] 0.67 1) 1477| 191 10| 0.50} 0.50! 415000] 291825 81/1997; 184] 0.67 1) 184 6! 13| 1.60| 1.00; 440000] 325170 821997) 1422| 0.00 1) 1422 27| 12| 0.50) 0.50) 185000/ 202617 83[1997| 143] 0.67 1) 151) 11] 10] 0.59] 0.50! 275000] 257254 84] 1997[ 149] 0.00 1 96| 29| 10| 0.53} 0.50} 156000] 198599 85/1997) 147| 0.67 1) 177) 19] 10] 0.59] 0.50; 360000] 290945 86|1997| 82| 0.67 1 80; 4] 14) 0.50) 0.50) 150000! 127395 87/1997; 51| 067 of 56! 19! 15| 059) 0.50) 70000} 71089 88| 1997/92] 0.67 0| 103° 4) +10; 0.50} 0.50} 170000| 161436 89/1997) 139! 0.00! 0! 117 4| 16| 1.00/ 0.50! 160000} 169385 90/1997) 143! 0.00 1 90; 25) 15| 0.50| 0.50! 169000) 159212 91/1997; 98] 0.67 of 98 2) 8! 050 1.00) 157000] 186309 Malaysian Management Journal 3 (1), 61-69 (1999) //mmj.uum.edu.my http [92] 1997] 82 0.00 of 8a] 11] 16 2 0.50] 150000] 99898 93[ 1997] 133] 0.00 ‘[__75|_19| 12] 0.50] 0.50] 170000] 152748 94/1997) 82| O67/ 1/100] 11/ 16! 050 aan 141014) 95) 1997| 145| 0.00] 1) 89 34] 10{ 0.50] 0.50] 168000] 191612 96/1997] 109] 0.67] o| 83 13| 10| 0.50] 0.50] 152000] 151474) 97) 1997| 82| 067 1 55! 11] 16] O.50| 0.50 100 98[ 1997| 137] 0.67 1|_ 85; 27/ 10] 0.50{ 0.50/ 140000] 190559 99[1997| 55| 067 1 S57| 7| 16| 0.50! 0.50/100000 100/ 1997| 55| 067 11 80 8 15) 050) 050 a L/area - Land area H/type - House type O/ship - Type of ownership A/qlity - Area quality B/qlty - Building quality A/price - Actual price P/price - Predicted price Malaysian Management Journal 3 (1), 61-69 (1999)

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Published

01-06-1999

Issue

Vol. 3 No. 1 (1999): Malaysian Management Journal (MMJ) Vol. 3 No. 1 June 1999

Section

Articles

How to Cite

Ku Mahamud, K. R., Abu Bakar, A., & Md. Norwawi, N. (1999). Multi Layer Perceptron Modelling in the Housing Market. Malaysian Management Journal, 3(1), 61-69. https://doi.org/10.32890/mmj1999.3.1.5

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Identifiers DOI 10.32890/mmj1999.3.1.5