ROUNDWATER LEVEL PREDICTION USING HYBRID ARTIFICIAL NEURAL NETWORK WITH GENETIC ALGORITHM

Authors

  • T.PRASHANTHI Author
  • GADDAM NIHARIKA Author
  • BURUGU LAVANYA Author
  • BULLA ABHILASH Author
  • GADDAM DHRUVA REDDY Author

Keywords:

Ground water, bio coagulants, Natural materials, coagulant-flocculation

Abstract

Natural materials should be used in the coagulant-flocculation process as much as possible. According to the literature, it is worthwhile to develop and, if possible, convert natural materials into commercial. On the other hand, natural coagulants are insufficient as a primary treatment since their efficacy is being hampered by increasing restrictions. Emerging technology and in-depth research contribute to the creation of these restricted settings as well as the success of chemicals. Natural coagulants are also commonly employed as coagulant aids in conjunction with manufactured coagulants. The type of coagulants used in the treatment of waste-water coagulation, in particular the usage of natural coagulants, is the subject of this investigation. Natural materials' potential for future expansion as aids and as sustainable composite coagulants are also discussed in this analytical report.

Downloads

Download data is not yet available.

Downloads

Published

09-12-2023

How to Cite

ROUNDWATER LEVEL PREDICTION USING HYBRID ARTIFICIAL NEURAL NETWORK WITH GENETIC ALGORITHM. (2023). International Journal of Information Technology and Computer Engineering, 11(4), 75-80. https://ijitce.org/index.php/ijitce/article/view/390