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Efficient Wavelet Sign Prediction: Simulated Annealing vs Genetic Algorithms.

, , , , , , и . KES, том 243 из Frontiers in Artificial Intelligence and Applications, стр. 1676-1684. IOS Press, (2012)

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J J M Ramakers

Salvador Navarro Navarro

J M Zöllner

Martin Navarro

J A M Wanders

 

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Efficient Wavelet Sign Prediction: Simulated Annealing vs Genetic Algorithms., , , , , , и . KES, том 243 из Frontiers in Artificial Intelligence and Applications, стр. 1676-1684. IOS Press, (2012)FutureHome: An integrated construction automation approach., , , , , , , , , и 1 other автор(ы). IEEE Robotics Autom. Mag., 9 (1): 55-66 (2002)A Model-Based Deep Transfer Learning Algorithm for Phenology Forecasting Using Satellite Imagery., , , и . HAIS, том 12886 из Lecture Notes in Computer Science, стр. 511-523. Springer, (2021)Electricity Consumption Time Series Forecasting Using Temporal Convolutional Networks., , , и . CAEPIA, том 12882 из Lecture Notes in Computer Science, стр. 216-225. Springer, (2021)Embedded Temporal Feature Selection for Time Series Forecasting Using Deep Learning., , , и . IWANN (2), том 14135 из Lecture Notes in Computer Science, стр. 15-26. Springer, (2023)HLNet: A Novel Hierarchical Deep Neural Network for Time Series Forecasting., , , и . SOCO, том 1401 из Advances in Intelligent Systems and Computing, стр. 717-727. Springer, (2021)From simple to complex: a sequential method for enhancing time series forecasting with deep learning., , , , и . Log. J. IGPL, 32 (6): 986-1003 (2024)Explaining Learned Patterns in Deep Learning by Association Rules Mining., , , и . SOCO (2), том 750 из Lecture Notes in Networks and Systems, стр. 132-141. Springer, (2023)Time Series Forecasting in Agriculture: Explainable Deep Learning with Lagged Feature Selection., , , , , и . SOCO (1), том 888 из Lecture Notes in Networks and Systems, стр. 139-149. Springer, (2024)