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http://hdl.handle.net/2080/331
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| DC Field | Value | Language |
|---|
| contributor.author | Pramanik, K | - |
| date.accessioned | 2006-09-07T08:34:23Z | - |
| date.available | 2006-09-07T08:34:23Z | - |
| date.issued | 2004 | - |
| identifier.citation | Journal of Institute of Engineers, India, Chemical Engineering, Vol 85, P 31-35 | en |
| identifier.uri | http://hdl.handle.net/2080/331 | - |
| description | Copyright for this article belongs to The Institution of Engineers, India | en |
| description.abstract | The application of neural network (ANN) for the prediction of fermentation variables in batch fermenter for the
production of ethanol from grape waste using Saccharomyces cerevisiae yeast has been discussed in this article. Artificial
neural network model, based on feed forward architecture and back propagation as training algorithm, is applied in this
study. The Levenberg- Marquardt optimization technique has been used to upgrade the network by minimizing the sum
square error (SSE). The performance of the network for predicting cell mass and ethanol concentration is found to be very
effective. The best prediction is obtained using a neural network with two hidden layers consisting of 15 and 16 neurons,
respectively. | en |
| format.extent | 461652 bytes | - |
| format.mimetype | application/pdf | - |
| language.iso | en | - |
| publisher | Institute of Engineers, India | en |
| subject | Neural network | en |
| subject | ANN model | en |
| subject | Simulation | en |
| subject | Saccharomyces cerevisiae yeast | en |
| title | Use of Artificial Neural Networks for Prediction of Cell Mass and Ethanol Concentration in Batch Fermentation using Saccharomyces cerevisiae Yeast | en |
| type | Article | en |
| Appears in Collections: | Journal Articles
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Files in This Item:
| File |
Description |
Size | Format |
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| pramanik1.pdf | | 450Kb | Adobe PDF | View/Open |
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