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This paper presents a novel algorithm named Double-layer Multi-expression Programming (DMEP). Then DMEP model is applied to the prediction of 28-day Portland cement compressive strength. We compare DMEP model with other four soft computing models, namely Multi-Expression Programming model (MEP), Gene Expression Programming model (GEP), Neural Networks model (NN) and Fuzzy logic model (FL) on 28-day...
Load demand prediction is vital for maintaining stability and controlling risks of electricity market. An improved model which combines neural network with genetic algorithm is proposed to accurately predict load demand at equilibrium situation of day-ahead electricity market. In the proposed model, load demand prediction problem is converted into optimization problem of error minimization between...
Based on the fitted curve model logic judgment adjustment gray forecast algorithm length of stride design ideas, in this period of time delay stage, to large inertia, large scale time delay system output responding condition comprehensive compensation research, proposed one gray adaptive prediction control method, overcome the tradition forecast PID and gray forecast control insufficiency, causes...
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