Artificial neural network and response surface methodology modeling in electrochemical and rheological properties of gel polymer electrolytes based on chitosan derivatives /
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Format: | Thesis Book |
Language: | English |
Published: |
2018.
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LEADER | 01546cam a2200361 i 4500 | ||
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001 | u1094274 | ||
003 | SIRSI | ||
005 | 201809060902 | ||
008 | 180906s2018 my a m 000 0 eng | ||
040 | |a UMM |d AUM |e rda | ||
090 | |a QD3 |b UMP 2018 Ahmda | ||
100 | 0 | |a Ahmad Danial Azzahari, |e author. | |
245 | 1 | 0 | |a Artificial neural network and response surface methodology modeling in electrochemical and rheological properties of gel polymer electrolytes based on chitosan derivatives / |c Ahmad Danial Bin Azzahari. |
264 | 1 | |c 2018. | |
300 | |a xix, 227 leaves : |b illustrations ; |c 30 cm. | ||
336 | |a text |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 Ph.D. |c Jabatan Kimia, Fakulti Sains, Universiti Malaya |d 2018. | ||
504 | |a Bibliography: leaves 115-137. | ||
530 | |a Also issued in CD. | ||
650 | 0 | |a Polyelectrolytes. | |
650 | 0 | |a Chitosan |x Structure. | |
650 | 0 | |a Electrochemistry. | |
650 | 0 | |a Rheology. | |
650 | 0 | |a Neural networks (Computer science). | |
710 | 2 | |a Universiti Malaya. |b Jabatan Kimia, |e degree granting institution. | |
596 | |a 1 25 | ||
900 | |a NSM | ||
999 | |a QD3 UMP 2018 AHMDA |w LC |c 1 |i A517004416 |d 28/9/2018 |f 28/9/2018 |g 1 |l STACKS |m P01UTAMA |r Y |s Y |t TESIS |u 28/9/2018 |1 STEM |o .PUBLIC. Embargoed until 31.12.2020. Released to stack 4-Jan-2021 |o .STAFF. | ||
999 | |a QD3 UMP 2018 AHMDA |w LC |c 1 |i A517194967 |f 15/6/2023 |g 1 |l DAMAGED |m P25UMARCHI |r N |s Y |t CD |u 15/6/2023 |1 STEM |o .STAFF. MST-CD2714 |