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An Empirical Validation of a New Memetic CRO Algorithm for the Approximation of Time Series.

, , , и . CAEPIA, том 11160 из Lecture Notes in Computer Science, стр. 209-218. Springer, (2018)

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Orencio Durán

María Carolina Durán Graeff

Vicente Durán Casas

Salvador Prieto Durán

Manuel Antonio Sebastiao

 

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Efficient fog prediction with multi-objective evolutionary neural networks., , , , , и . Appl. Soft Comput., (2018)Hybridization of neural network models for the prediction of Extreme Significant Wave Height segments., , , и . SSCI, стр. 1-8. IEEE, (2016)Time series clustering based on the characterisation of segment typologies., , , , и . CoRR, (2018)A statistically-driven Coral Reef Optimization algorithm for optimal size reduction of time series., , , и . Appl. Soft Comput., (2018)A hybrid dynamic exploitation barebones particle swarm optimisation algorithm for time series segmentation., , , и . Neurocomputing, (2019)Identification of extreme wave heights with an evolutionary algorithm in combination with a likelihood-based segmentation., , , и . Progress in AI, 6 (1): 59-66 (2017)An Empirical Validation of a New Memetic CRO Algorithm for the Approximation of Time Series., , , и . CAEPIA, том 11160 из Lecture Notes in Computer Science, стр. 209-218. Springer, (2018)Hybrid Weighted Barebones Exploiting Particle Swarm Optimization Algorithm for Time Series Representation., , , и . BIOMA, том 10835 из Lecture Notes in Computer Science, стр. 126-137. Springer, (2018)A Coral Reef Optimization Algorithm for Wave Height Time Series Segmentation Problems., , , , и . IWANN (1), том 10305 из Lecture Notes in Computer Science, стр. 673-684. Springer, (2017)Time-Series Clustering Based on the Characterization of Segment Typologies., , , , и . IEEE Trans. Cybern., 51 (11): 5409-5422 (2021)