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Least square support vector machine (LSSVM) is a well accepted process modeling technique. However, it has an instinct shortcoming as that the solution is lack of spareness. In this paper, a particle swarm optimization (PSO) based optimal spareness approach for LSSVM is proposed and validated. The spareness of LSSVM is firstly formulated as an optimization problem, where pruning percentage of the...
Activated sludge is a typical process for waste water treatment; meanwhile, it is an energy-intensive process. Operation optimization is a solution to save energy, where control models are much needed. In this paper, a dynamic LSSVM model for activated sludge process is proposed and validated. Time delay and model orders are involved during the re-establishment process of the training datasets; by...
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