Nitrogen prediction model through new hybrid model using ant colony optimization and Elman neural network /
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| Main Author: | |
|---|---|
| Format: | Thesis Book |
| Language: | English |
| Published: |
2021.
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| Subjects: | |
| Online Access: | http://studentsrepo.um.edu.my/14057/ |
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|---|---|---|---|
| 001 | u1150912 | ||
| 003 | SIRSI | ||
| 005 | 202112061033 | ||
| 008 | 211206s2021 my a m 000 0 eng | ||
| 040 | |a UMM |d UMJ |d AUM |e rda | ||
| 090 | |a TA145 |b UMP 2021 Kum | ||
| 097 | |a TA145 |b UMP 2021 Kum | ||
| 100 | 1 | |a Kumar, Pavitra, |e author. | |
| 245 | 1 | 0 | |a Nitrogen prediction model through new hybrid model using ant colony optimization and Elman neural network / |c Pavitra Kumar. |
| 264 | 1 | |c 2021. | |
| 300 | |a xvi, 127 leaves : |b illustrations ; |c 30 cm | ||
| 336 | |a text |2 rdacontent | ||
| 336 | |a still image |2 rdacontent | ||
| 337 | |a unmediated |2 rdamedia | ||
| 337 | |a computer |2 rdamedia | ||
| 338 | |a volume |2 rdacarrier | ||
| 338 | |a computer dics |2 rdacarrier | ||
| 502 | |b Ph.D. |c Jabatan Kejuruteraan Awam, Fakulti Kejuruteraan, Universiti Malaya |d 2021. | ||
| 504 | |a Bibliography: leaves 115-122. | ||
| 530 | |a Also issued in CD. | ||
| 650 | 0 | |a Water |x Nitrogen content |x Measurement. | |
| 650 | 0 | |a Nitrates |x Environmental aspects. | |
| 650 | 0 | |a Neural networks (Computer science) | |
| 650 | 0 | |a Mathematical optimization. | |
| 710 | |a Universiti Malaya. |b Jabatan Kejuruteraan Awam, |e degree granting institution. | ||
| 856 | 4 | 1 | |u http://studentsrepo.um.edu.my/14057/ |
| 900 | |a NNANS US | ||
| 596 | |a 1 7 25 | ||
| 999 | |a TA145 UMP 2021 KUM |w LC |c 1 |i A517719245 |f 23/2/2022 |g 1 |l STACKS |m P01UTAMA |r Y |s N |t TESIS |u 23/2/2022 |1 STEM |o .PUBLIC. Embargoed until 22.07.2022. Released to stack 28-July-2022. |o .STAFF. | ||
| 999 | |a TA145 UMP 2021 KUM |w LC |c 1 |i A517733692 |f 3/8/2022 |g 1 |l STACKS |m P07JURUTER |r Y |s Y |t TESIS |u 18/7/2022 |1 STEM |o .PUBLIC. |o .STAFF. | ||
| 999 | |a TA145 UMP 2021 KUM |w LC |c 1 |i A517719259 |f 25/8/2022 |g 1 |l STACKS |m P25UMARCHI |r N |s Y |t CD |u 25/8/2022 |1 STEM |o .STAFF. MST-CD1025 | ||
