Please use this identifier to cite or link to this item:
http://hdl.handle.net/10263/3064
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Pal, N R | - |
dc.contributor.author | Pal, S | - |
dc.contributor.author | Das, J | - |
dc.contributor.author | Majumder, K | - |
dc.date.accessioned | 2012-01-24T19:54:48Z | - |
dc.date.available | 2012-01-24T19:54:48Z | - |
dc.date.issued | 2003 | - |
dc.identifier.citation | IEEE transactions on geoscience and remote sensing,V41,P2783-2791 | en_US |
dc.identifier.uri | http://hdl.handle.net/10263/3064 | - |
dc.language.iso | en | en_US |
dc.subject | Atmospheric science | en_US |
dc.subject | Backpropagation | en_US |
dc.subject | Feature selection | en_US |
dc.subject | Neural network | en_US |
dc.subject | Self organizing feature map | en_US |
dc.subject | Temprature forecasting | en_US |
dc.title | SOFM-MLP:a hybrid neural network for atmospheric temperature prediction | en_US |
dc.type | Article | en_US |
Appears in Collections: | Electronics |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Binder3.pdf | 2.3 MB | Adobe PDF | View/Open |
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