Switched reluctance motor model based on artificial intelligence techniques /
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Format: | Thesis Book |
Language: | English |
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LEADER | 01314cam a2200349 i 4500 | ||
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001 | u852421 | ||
003 | SIRSI | ||
005 | 201203051217 | ||
008 | 120305s2010 my a m 000 0 eng | ||
040 | |a UMM |d UMJ |e rda | ||
090 | |a TK7 |b UM 2010 Par | ||
097 | |a TK7 |b UM 2010 Par | ||
100 | 1 | |a Parvizi, Amin, |e author | |
245 | 1 | 0 | |a Switched reluctance motor model based on artificial intelligence techniques / |c Amin Parvizi. |
264 | 1 | |c 2010. | |
264 | 4 | |c 2010. | |
300 | |a xiii, 169 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 Kejuruteraan, Universiti Malaya |d 2011. | ||
504 | |a Bibliography: leaves 126-142. | ||
650 | 0 | |a Reluctance motors. | |
650 | 0 | |a Fuzzy logic. | |
650 | 0 | |a Intelligent control systems. | |
650 | 0 | |a Neural networks (Computer science). | |
710 | 2 | |a Universiti Malaya. |b Jabatan Kejuruteraan Elektrik, |e degree granting institution. | |
900 | |a NHS-RH | ||
900 | |a NSR | ||
596 | |a 1 7 | ||
999 | |a TK7 UM 2010 PAR |w LC |c 1 |i A513412202 |d 5/12/2012 |f 5/12/2012 |g 2 |l STACKS |m P07JURUTER |r N |s Y |t TESIS |u 4/12/2012 | ||
999 | |a TK7 UM 2010 PAR |w LC |c 1 |i A514902511 |d 4/5/2016 |f 4/5/2016 |g 1 |l STACKS |m P01UTAMA |r Y |s Y |t TESIS |u 21/4/2016 |1 STEM |