Soil erosion prediction based on ANFIS and RUSLE model /
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Main Author: | |
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Format: | Thesis Book |
Language: | English |
Published: |
2018
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Subjects: | |
Online Access: | http://studentsrepo.um.edu.my/9093/ |
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LEADER | 01443cam a2200349 i 4500 | ||
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001 | u1092388 | ||
003 | SIRSI | ||
005 | 201808160850 | ||
008 | 180816s2018 my a m 000 0 eng | ||
040 | |a UMM |d UMJ |e rda | ||
090 | |a TA7 |b UM 2018 Isl | ||
097 | |a TA145 |u MJ 2018 Isl | ||
100 | 1 | |a Islam, Md. Rabiul, |e author. | |
245 | 1 | 0 | |a Soil erosion prediction based on ANFIS and RUSLE model / |c Md. Rabiul Islam. |
264 | 1 | |c 2018 | |
300 | |a xx, 139 leaves : |b illustrations ; |c 30 cm. | ||
336 | |a text |2 rdacontent | ||
337 | |a unmediated |2 rdamedia | ||
338 | |a volume |2 rdacarrier | ||
502 | |b M.Eng. |c Jabatan Kejuruteraan Awam, Fakulti Kejuruteraan, Universiti Malaya |d 2018. | ||
504 | |a Bibliography: leaves 120-137. | ||
530 | |a Also issued in CD. | ||
650 | 0 | |a Soil erosion prediction. | |
650 | 0 | |a Geophysical prediction. | |
650 | 0 | |a Fuzzy systems. | |
710 | |a Universiti Malaya. |b Jabatan Kejuruteraan Awam, |e degree granting institution. | ||
596 | |a 1 7 | ||
856 | 4 | 1 | |u http://studentsrepo.um.edu.my/9093/ |
900 | |a NSR NSM AMA | ||
999 | |a TA7 UM 2018 ISL |w LC |c 1 |i A517176606 |d 25/7/2019 |e 25/7/2019 |f 13/9/2018 |g 1 |l STACKS |m P01UTAMA |n 4 |r Y |s Y |t TESIS |u 13/9/2018 |1 STEM | ||
999 | |a TA7 UM 2018 ISL |w LC |c 1 |i A516959227 |d 23/10/2018 |f 23/10/2018 |g 2 |l STACKS |m P07JURUTER |r Y |s Y |t TESIS |u 23/10/2018 |1 STEM | ||
999 | |a TA7 UM 2018 ISL |w LC |c 2 |i A516960582 |d 23/10/2018 |f 23/10/2018 |g 2 |l COUNTER |m P07JURUTER |r Y |s Y |t CD |u 23/10/2018 |1 STEM |