Performance analysis and prediction of solar powered air dryer parameters using artificial neural network /
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Format: | Thesis Book |
Language: | English |
Published: |
2014.
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LEADER | 01410cam a2200337 i 4500 | ||
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001 | u1005531 | ||
003 | SIRSI | ||
005 | 201410161131 | ||
008 | 141016s2014 my a t 000 0 eng m | ||
040 | |a UMM |d UMJ |e rda | ||
090 | |a TK7 |b UM 2014 Bil | ||
097 | |a TK7 |b UM 2014 Bil | ||
100 | 1 | |a Billah, A. G. M. Mustayen, |e author. | |
245 | 1 | 0 | |a Performance analysis and prediction of solar powered air dryer parameters using artificial neural network / |c A. G. M. Mustayen Billah. |
264 | 1 | |c 2014. | |
264 | 4 | |c 2014. | |
300 | |a xv, 93 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 Elektrik, Fakulti Kejurutaan, Universiti Malaya, |d 2014. | ||
504 | |a Bibliography: leaves 78-86. | ||
650 | 0 | |a Solar heating | |
650 | 0 | |a Solar energy |x Passive systems | |
650 | 0 | |a Neural networks (Computer science) | |
710 | 2 | |a Universiti Malaya. |b Fakulti Kejuruteraan, |e degree granting institution. | |
900 | |a NSR | ||
596 | |a 1 7 | ||
999 | |a TK7 UM 2014 BIL |w LC |c 1 |i A516152342 |d 6/3/2015 |f 6/3/2015 |g 1 |l STACKS |m P07JURUTER |r N |s Y |t TESIS |u 6/3/2015 | ||
999 | |a TK7 UM 2014 BIL |w LC |c 2 |i A516155701 |d 6/3/2015 |f 6/3/2015 |g 1 |l COUNTER |m P07JURUTER |r N |s Y |t CD |u 6/3/2015 | ||
999 | |a TK7 UM 2014 BIL |w LC |c 1 |i A516051091 |d 14/4/2016 |f 14/4/2016 |g 1 |l STACKS |m P01UTAMA |r Y |s Y |t TESIS |u 8/4/2016 |1 STEM |