RISK ASSESSMENT MODEL FOR POLLUTANTS IN EDIBLE OILS BASED ON OPTIMIZED GREY RELATIONAL ANALYSIS COMBINED WITH EXTREME LEARNING MACHINE

Risk Assessment Model for Pollutants in Edible Oils Based on Optimized Grey Relational Analysis Combined with Extreme Learning Machine

In recent years, edible oil safety problems have occurred frequently.In order Industrial:Restaurant to reduce the threat of such incidents, it is of great significance to research edible oil safety risk assessment models.Considering that high-dimensional, non-linear and discrete data containing noise are currently obtained from the detection of edi

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Enhanced Particle Swarm Optimization-Based Feeder Reconfiguration Considering Uncertain Large Photovoltaic Powers and Demands

The Kyoto protocol recommended that industrialized countries limit their green gas emissions in 2012 to 5.2% below 1990 levels.Photovoltaic (PV) arrays provide clear and sustainable renewable energy to electric power systems.Solar PV arrays can be installed in distribution systems of rural and urban areas, as opposed to wind-turbine generators, whi

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Using satellite rainfall products to assess the triggering conditions for hydro-morphological processes in different geomorphological settings in China

Hydro-morphological processes (HMP, i.e.all processes contained within the spectrum Insect Repellent defined between debris flows and flash floods) initiate in response to intense rainfall events.Efficient HMP hazard assessment over large regions is often hindered because of limited rainfall observations over mountainous areas.Real-time and easily

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