Artificial neural network application in non-collocated impact force identification using appropriate time-domain feature and network type /
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis Book |
| Language: | English |
| Published: |
2017.
|
| Subjects: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| LEADER | 01496cam a2200349 i 4500 | ||
|---|---|---|---|
| 001 | u1048394 | ||
| 003 | SIRSI | ||
| 005 | 201703070928 | ||
| 008 | 170307s2017 my a m 000 0 eng | ||
| 040 | |a UMM |d UMJ |e rda | ||
| 090 | |a TJ7 |b UM 2017 Hos | ||
| 097 | |a TJ7 |b UM 2017 Hos | ||
| 100 | 1 | |a Hossain, Md Sazzad, |e author. | |
| 245 | 1 | 0 | |a Artificial neural network application in non-collocated impact force identification using appropriate time-domain feature and network type / |c Md Sazzad Hossain. |
| 264 | 1 | |c 2017. | |
| 264 | 4 | |c 2017. | |
| 300 | |a xiv, 86 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.Sc. |c Jabatan Kejuruteraan Mekanik, Fakulti Kejuruteraan, Universiti Malaya |d 2017. | ||
| 504 | |a Bibliography: leaves 71-78. | ||
| 530 | |a Also issued in CD. | ||
| 650 | 0 | |a Structural dynamics. | |
| 650 | 0 | |a Neural networks (Computer science) | |
| 650 | 0 | |a Time-domain analysis. | |
| 710 | 2 | |a Universiti Malaya. |b Jabatan Kejuruteraan Mekanik, |e degree granting institution. | |
| 900 | |a NSR NSM | ||
| 596 | |a 1 7 | ||
| 999 | |a TJ7 UM 2017 HOS |w LC |c 1 |i A516673578 |d 26/5/2017 |f 26/5/2017 |g 2 |l STACKS |m P01UTAMA |r Y |s Y |t TESIS |u 25/5/2017 |1 STEM | ||
| 999 | |a TJ7 UM 2017 HOS |w LC |c 1 |i A516963337 |d 16/1/2018 |f 16/1/2018 |g 1 |l STACKS |m P07JURUTER |r N |s Y |t TESIS |u 16/1/2018 |1 STEM | ||
| 999 | |a TJ7 UM 2017 HOS |w LC |c 2 |i A516962963 |d 16/1/2018 |f 16/1/2018 |g 1 |l COUNTER |m P07JURUTER |r N |s Y |t CD |u 16/1/2018 |1 STEM | ||