000 01417nam a2200373 i 4500
005 20250930141809.0
008 170310s2015 my a m 000 0 eng d
039 9 _a201705191643
_bhendon
_c201705191555
_dhendon
_c201705191554
_dhendon
_y03-10-2017
_zhamdan
040 _aUKM
_erda
090 _aQ325.F337 2015 3 tesis
090 _aQ325
_b.F337 2015 3
100 1 _aFahimi, Farzad,
_eauthor.
245 1 0 _aRainfall-inflow forecasting using feed-forward artificial neural networks augmented by self organizing maps /
_cFarzad Fahimi.
264 0 _c2015.
300 _axxiv, 208 pages :
_billustrations ;
_c30 cm.
336 _atext
_2rdacontent
337 _aunmediated
_2rdamedia
338 _avolume
_2rdacarrier
502 _aThesis (Ph.D) - Universiti Kebangsaan Malaysia, 2015.
504 _aReferences : pages [141]-154.
610 2 0 _aUniversiti Kebangsaan Malaysia
_xDissertations.
_962865
650 0 _aSelf-organizing maps.
650 0 _aNeural networks (Computer science).
_960531
650 0 _aComputational intelligence.
650 0 _aHydrological forecasting.
650 0 _aDissertations, Academic
_zMalaysia.
_962866
907 _a.b16445120
_b2025-07-18
_c2019-11-12
942 _c3
_n0
_kQ325.F337 2015 3 tesis
914 _avtls003618921
990 _ahak/ha
991 _aFakulti Kejuruteraan dan Alam Bina
998 _al
_b2017-10-03
_cm
_dx
_feng
_gmy
_y0
_z.b16445120
999 _c617704
_d617704