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http://nopr.niscpr.res.in/handle/123456789/18049Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Jooya, Sh | - |
| dc.contributor.author | Gobal, F | - |
| dc.date.accessioned | 2013-05-13T05:28:10Z | - |
| dc.date.available | 2013-05-13T05:28:10Z | - |
| dc.date.issued | 2005-01 | - |
| dc.identifier.issn | 0975-0975(Online); 0376-4710(Print) | - |
| dc.identifier.uri | http://hdl.handle.net/123456789/18049 | - |
| dc.description | 64-66 | en_US |
| dc.description.abstract | A neural network based on the feed forward back propagation error has been developed for the design and simulation of the catalytic properties of a multi-component system based on Cu-M-Al2O3 (M=Zn,Cr,Zr) for the steam reforming of methanol. Due to the limited size of the data set, cross validation method has to be used to enhance and also evaluate the prediction ability of the network. The best structural organization has been found to include 4,3 ,6,3 nodes in the input, two hidden layers and the output layer respectively. | en_US |
| dc.language.iso | en_US | en_US |
| dc.publisher | NISCAIR-CSIR, India | en_US |
| dc.relation.ispartofseries | Int. Cl.7 B01J 23/00 | en_US |
| dc.rights |  CC Attribution-Noncommercial-No Derivative Works 2.5 India | en_US |
| dc.source | IJC-A Vol.44A(01) [January 2005] | en_US |
| dc.title | Artificial neural network aided design of a multi-component catalyst for the steam reforming of methanol | en_US |
| dc.type | Article | en_US |
| Appears in Collections: | IJC-A Vol.44A(01) [January 2005] | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| IJCA 44A(1) 64-66.pdf | 686.44 kB | Adobe PDF | View/Open |
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