Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7084930 | Bioresource Technology | 2013 | 7 Pages |
Abstract
⺠Outdoor algal cultivation is influenced by many uncontrollable input variables. ⺠Artificial neural network model predicts outdoor Spirulina growth accurately. ⺠Simple to measure input parameters identified for the growth prediction model. ⺠Two weeks' data sufficient to give robust model for growth prediction. ⺠Precise output prediction will help better management of uncontrollable processes.
Keywords
Related Topics
Physical Sciences and Engineering
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Process Chemistry and Technology
Authors
J. Sharon Mano Pappu, G. Karthik Vijayakumar, V. Ramamurthy,