Search alternatives:
prediction algorithm » prediction algorithms (Expand Search), detection algorithm (Expand Search), selection algorithm (Expand Search)
source prediction » source reduction (Expand Search), slice prediction (Expand Search), sequence prediction (Expand Search)
multi source » multiple sources (Expand Search)
prediction algorithm » prediction algorithms (Expand Search), detection algorithm (Expand Search), selection algorithm (Expand Search)
source prediction » source reduction (Expand Search), slice prediction (Expand Search), sequence prediction (Expand Search)
multi source » multiple sources (Expand Search)
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Multi-step prediction error.
Published 2025“…Compared with other studies, we innovatively improved the prediction accuracy of the model significantly through noise removal and the introduction of multi-source features.…”
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Algorithm steps for house price prediction model.
Published 2025“…The research problem is addressed by introducing the House Price Evaluation Model (HPEM), which utilizes a hybrid deep learning network for analyzing multi-source geographic data. The network integrates the attention mechanism with spatial feature extraction, and a bat optimization algorithm is used to improve explainability and accuracy. …”
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Data sources for calibration and evaluation.
Published 2025“…In this work, we modified Non-dominated Sorting Genetic Algorithm with the core algorithm of PEST (MNSGA-II) and compared it to two other algorithms of Generalized Likelihood Uncertainty Estimation (GLUE) and Differential Evolution (DE) to calibrate the cultivar-specific parameters (CSPs) of CROPGRO-Soybean phenological model (CSPM) so as to exactly simulate the soybean phenology using the multi-source datasets of multi-site, multi-year, and multi-cultivar. …”
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Multi-step ahead prediction plots for each model.
Published 2025“…The model’s performance is validated through ablation experiments and comparisons of single-step and multi-step predictions with recent benchmark models. …”
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A machine learning framework enhanced by hybrid optimization for precise solar power generation prediction
Published 2025“…Further refinement of the predictive performance of this model has been done by incorporating Tunicate Swarm Algorithm (TSA) and Sooty Tern Optimization Algorithm (STOA). …”
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Two-dimensional scatter plot of wind speed, blade deflection angle, and power.
Published 2025Subjects: -
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