this article deals with the issues associated with developing a new design methodology for the nonlinear model-predictive control (mpc) of a chemical plant. a combination of multiple neural networks is selected and used to model a nonlinear multi-input multi-output (mimo) process with time delays.  an optimization procedure for a neural mpc algorithm based on this model is then developed. the p...

In this work, a procedure to simulate the MD (molecular distillation) process for lactic acid purification was developed. The simulation was carried out with the aid of the Aspen Plus Process Simulator. Flash vessel was used to represent the MD process since the software does not present this unit operation. The simulation results with efficiency factors were in agreement with previously report...

Knowledge distillation (KD) is a method in which teacher network guides the learning of student network, thereby resulting an improvement performance network. Recent research this area has concentrated on developing effective definitions knowledge and efficient methods transfer while ignoring ability To fully utilize potential improve efficiency, study proposes multiple-stage KD (MSKD) that all...

Nowadays, desalination continues to expand globally, which is one of the most effective solutions solve problem global drinking water shortage. However, not a fail-safe process and has many environmental human health consequences. This paper investigated procedure seawater with different technologies, namely, multi-stage flash distillation (MSF), multi-effect (MED), reverse osmosis (RO), variou...

A single model usually cannot learn all the appropriate features with limited data, thus leading to poor performance when test data are used. To improve performance, we propose a teacher-student collaborative knowledge distillation (TSKD) method based on and self-distillation. The consists of two parts: learning in teacher network self-teaching student network. Learning allows use from Self-tea...

Techniques such as ensembling and distillation promise model quality improvements when paired with almost any base model. However, due to increased testtime cost (for ensembles) and increased complexity of the training pipeline (for distillation), these techniques are challenging to use in industrial settings. In this paper we explore a variant of distillation which is relatively straightforwar...

This paper describes BUPT (pris) participation in faceted blog distillation task at Blog Track 2009. The system adopts a two-stage strategy in faceted blog distillation task. In the first stage, the system carries out a basic topic relevance retrieval to get the top k blogs for each query. In the second stage, different models are designed to judge the facets and ranking.

We experimentally demonstrate the two-step distillation of entanglement. The output of a first distillation stage underwent a second distillation step and was made available for subsequent steps. Our experiment displays the realization of the building blocks required for an entanglement distillation scheme that can fully overcome decoherence.