The use of artificial neural network for modelling of phycoremediation of toxic elements As(III) and As(V) from wastewater using Botryococcus braunii
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- 作者：M.S. Podder ; mou.chem11@gmail.com" class="auth_mail" title="E-mail the corresponding author ; C.B. Majumder cbmajumder@gmail.com" class="auth_mail" title="E-mail the corresponding author
- 关键词：Arsenic ; Wastewater ; Phycoremediation ; Botryococcus braunii ; Artificial neural network (ANN)
- 刊名：Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy
- 出版年：2016
- 出版时间：15 February 2016
- 年：2016
- 卷：155
- 期：Complete
- 页码：130-145
- 全文大小：2591 K
文摘
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Optimization of phycoremediation process parameters using Bortycoccus braunii was done.
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ANN model was developed for predicting phycoremediation efficiency.
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CSCF technique was used to increase data points.
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Three-layer feed-forward back propagation learning algorithm was used.
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