Modelling of sludge discharge based on PSO-RVM

DOI

10.2991/ifeesm-17.2018.208How to use a DOI?

Keywords

sludge discharge;PSO; RVM

Abstract

The sludge discharge model in wastewater biochemical treatment is highly nonlinear,Accurate prediction of sludge discharge will provide basic data for the precise control of subsequent sludge dewatering process In the research based on this method, due to the relevance vector machine(RVM) has high sparseness and uses probability factor in predict, which is superior to the support vector machine(SVM) in the sludge discharge. However, the kernel function parameters of RVM are estimated by experience. Therefore, a kind of RVM method based on the particle swarm optimization(PSO) algorithm is proposed, which adopts the PSO algorithm to determine the kernel parameter of RVM, then builds RVM model and uses forecast the final sludge discharge.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Long Luo
PY  - 2018/02
DA  - 2018/02
TI  - Modelling of sludge discharge based on PSO-RVM
BT  - Proceedings of the 2017 3rd International Forum on Energy, Environment Science and Materials (IFEESM 2017)
PB  - Atlantis Press
SP  - 1138
EP  - 1141
SN  - 2352-5401
UR  - https://doi.org/10.2991/ifeesm-17.2018.208
DO  - 10.2991/ifeesm-17.2018.208
ID  - Luo2018/02
ER  -