Machine learning approach to study the dynamics of nonlinear troesch's problem using artificial neural network models (Record no. 14913)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 00742nam a22001697a 4500 |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | Riphah International University |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 530.15 |
| Author Mark | TAR |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Authorship | Muhammad Tariq (11737) |
| 245 ## - TITLE STATEMENT | |
| Title | Machine learning approach to study the dynamics of nonlinear troesch's problem using artificial neural network models |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | Islamabad |
| Name of publisher | Riphah International University (unpublished) |
| Date of publication | 2015 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 55 p. |
| Illustrations | : ill. |
| Dimensions | ; 29 cm. |
| Accompanying material | +CD |
| 500 ## - GENERAL NOTE | |
| General note | Includes references |
| 500 ## - GENERAL NOTE | |
| General note | Thesis supervisor: Prof. Dr. M. Tufail |
| 502 ## - DISSERTATION NOTE | |
| Dissertation note | Department of Physics<br/>Faculty of Basic Sciences |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Subject | Mathematical physics |
| Keywords | Physics |
| -- | Data processing |
| -- | Troesch problem |
| -- | Neural model |
| -- | System model |
| -- | Nonlinear troesch's problem |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| item type | Thesis |
| Not for loan | Home library | Current library | Source of acquisition | Full call number | Barcode | Copy number | Koha item type |
|---|---|---|---|---|---|---|---|
| NOT for LOAN | Main Campus | Main Campus | Riphah International University | 530.15 TAR | 0160 | 1 | Thesis |