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In this paper, a new hybrid forecasting architecture is proposed to realize the wind speed accurate forecasting.
In this paper, a new forecasting architecture based on decomposing algorithms and modified neural networks is successfully developed for multi-step wind speed forecasting.
In this paper, a social collaborative Internet of Things (IoT) based smart flood monitoring and forecasting architecture is proposed with the convergence between big data and HPC.
In the hybrid Adaboost MLP forecasting architecture, four important algorithms are adopted for the training and modeling of the MLP neural networks, including GD-ALR-BP algorithm, GDM-ALR-BP algorithm, CG-BP-FR algorithm and BFGS algorithm.
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Common topics include configuration and change management, cost forecasting and architectures for deploying services and workloads to cloud services.
A set of already reported antifungal bioactive coumarin and some well-known physical descriptors have been selected and using LM training algorithm the best architecture of neural model has been designed for forecasting the new bioactive compounds.
A novel RBF network architecture is proposed based on incorporation of an error-correction mechanism, which improves forecasting ability of feed-forward neural networks.
In Reference [111], a two-stage neural network architecture constructed by combining RNN with kernel feature extraction is proposed for stock prices forecasting.
A proper design of the architecture of Artificial Neural Network (ANN) models can provide a robust tool in water resources modeling and forecasting.
(2015) compare the forecasting performance of three ANN architectures to forecast tourist arrivals to Catalonia.
For monthly horizon, the ANN model is optimized by trialing 55 neuronal architectures, while for seasonal forecasting, nine neuronal architectures are trailed with time-lagged LST.
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