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Issue No:5 Vol.4 |
May -2011 |
ISSN: 0974-5645 |
| RESEARCH ARTICLES |
Viewers & PDF |
| 15. Role of constraints on process parameters in artificial neural network based simulation of composting of agricultural waste. Shilpa Tripathi and J. K. Shrivastava. Indian J.Sci.Technol. Vol.4, Issue 5, pp: 542-546. |
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- Abstract
This paper focuses on the effect of process constraints on success of the artificial neural network (ANN) program in
predicting the compost process. Agricultural waste (sugarcane bagasse, soya husk, and wood straw) was composted
aerobically and data on experimentally determined carbon dioxide evolved was used for simulation of composting
process. A computer program was developed using ANN technique for simulation purpose. The ANN based model was
tested for fitting a combination of exponential functions on experimental data, for two different rates of reaction,
corresponding to easily and moderately hydrolysable waste. Initial trials failed to give satisfactory fit, but introduction of
certain constraints like relative magnitude of the two reaction rates and constraint on total carbon helped in
convergence of the solution. This study reveals the important role of constraints on process parameters in modeling of
aerobic composting of agricultural waste. ANN program required initial estimates of process parameters to start the
convergence process. Effect of these estimates is also discussed here.
- Keywords: Agricultural waste, compost, artificial neural network, carbon.
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