Octane number prediction for gasoline blends using convolution neural network /
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| Main Author: | |
|---|---|
| Format: | Thesis Book |
| Language: | English |
| Published: |
2021.
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| Subjects: | |
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| LEADER | 01580nam a2200385 i 4500 | ||
|---|---|---|---|
| 001 | u1149120 | ||
| 003 | SIRSI | ||
| 005 | 202011241057 | ||
| 008 | 201124s2021 my a m 000 0 eng | ||
| 040 | |a UMM |d UMJ |e rda | ||
| 090 | |a TK7 |b UM 2021 Zhu | ||
| 097 | |a TK7 |b UM 2021 Zhu | ||
| 100 | 1 | |a Zhu, Yue, |e author. | |
| 245 | 1 | 0 | |a Octane number prediction for gasoline blends using convolution neural network / |c Zhu Yue. |
| 264 | 1 | |c 2021. | |
| 300 | |a viii, 67 leaves : |b illustrations (some colour) ; |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 disc |2 rdacarrier | ||
| 502 | |b M.Eng. |c Jabatan Kejuruteraan Elektrikal, Fakulti Kejuruteraan, Universiti Malaya |d 2021. | ||
| 504 | |a Bibliography: leaves 66-67. | ||
| 530 | |a Also issued in CD. | ||
| 650 | 0 | |a Gasoline. | |
| 650 | 0 | |a Machine learning. | |
| 650 | 0 | |a Radial basis functions. | |
| 650 | 0 | |a Back propagation (Artificial intelligence) | |
| 650 | 0 | |a Neural networks (Computer science) | |
| 710 | 2 | |a Universiti Malaya. |b Jabatan Kejuruteraan Elektrik, |e degree granting institution. | |
| 900 | |a NNANS US | ||
| 596 | |a 1 7 | ||
| 999 | |a TK7 UM 2021 ZHU |w LC |c 1 |i A517716796 |f 25/1/2022 |g 1 |l STACKS |m P01UTAMA |r Y |s Y |t TESIS |u 25/1/2022 |1 STEM |o .PUBLIC. Embargoed until 08 June 2023 (Released to stack 14-Jun-2023) |o .STAFF. Tiada CD diterima | ||
| 999 | |a TK7 UM 2021 ZHU |w LC |c 1 |i A517693052 |f 7/4/2022 |g 1 |l STACKS |m P07JURUTER |r Y |s Y |t TESIS |u 7/4/2022 |1 STEM |o .PUBLIC. |o .STAFF. | ||