Alternative negative selection framework of artificial immune system for classification problems /
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| Main Author: | |
|---|---|
| Format: | Thesis |
| Language: | English |
| Published: |
Skudai, Johor Darul Takzim :
Faculty of Science Computer and Information Syatem UTM,
2005
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| Subjects: | |
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| LEADER | 016840000a22003490004500 | ||
|---|---|---|---|
| 001 | 330171 | ||
| 005 | 20230420135149.0 | ||
| 008 | 051209t2005 my a g 000 0 eng d | ||
| 035 | |a (Sirsi) 330171 | ||
| 040 | |a UIAM |b eng |e rda | ||
| 050 | 0 | 0 | |a QA76.87 |
| 100 | 0 | |a Amelia Ritahani binti Ismail, |e author |9 115107 | |
| 245 | 1 | 0 | |a Alternative negative selection framework of artificial immune system for classification problems / |c Amelia Ritahani Bt. Ismail |
| 264 | 1 | |a Skudai, Johor Darul Takzim : |b Faculty of Science Computer and Information Syatem UTM, |c 2005 | |
| 300 | |a xx, 104 leaves : |b illustrations ; |c 30 cm. | ||
| 336 | |2 rdacontent | ||
| 337 | |2 rdamedia | ||
| 338 | |2 rdacarrier | ||
| 500 | |a "A project report submitted in partial fulfillment of the requirements for the award of the Degree of Master of Science (Computer Science)."--On title page. | ||
| 502 | |a Thesis (M. Sc.)--Universiti Teknologi Malaysia, 2005. | ||
| 504 | |a Includes bibliographical references (leaves 90-96). | ||
| 650 | 0 | |a Immune system |x Computer simulation |9 122993 | |
| 650 | 0 | |a Immunocomputers |9 122994 | |
| 650 | 0 | |a Artificial intelligence |9 4136 | |
| 650 | 0 | |a Neural networks (Computer science) | |
| 655 | 0 | 7 | |a Theses, IIUM foreign |
| 710 | 2 | |a Universiti Teknologi Malaysia. |b Fakulti Sains Komputer dan Sistem Maklumat |9 122995 | |
| 730 | 0 | |a Alternative negative selection framework of artificial immune system for classification problems. (Computer file) |9 122996 | |
| 900 | |a mbs-hj-his | ||
| 942 | |2 lcc |n 0 | ||
| 999 | |c 432161 |d 464143 | ||
| 952 | |0 0 |6 T QA 000076.87 A499A 2005 |7 0 |8 THESES |9 754616 |a IIUM |b IIUM |c MULTIMEDIA |g 0.00 |o t QA76.87A499A 2005 |p 00000939585 |r 2017-10-20 |t 1 |v 0.00 |y THESIS | ||
