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Augmented Reality in Primary Education: An Active Learning Approach in Mathematics.

, , , , and . Comput., 12 (10): 207 (September 2023)

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Constructing Symbols as Manipulable Structures by Recurrent Networks., , , and . IJCNN (2), page 99-104. IEEE Computer Society, (2000)0-7695-0619-4.Fuzzy Methods for Simplifying a Boolean Formula Inferred from Examples., , , and . FSKD, page 554-558. (2002)Augmented Reality in Primary Education: An Active Learning Approach in Mathematics., , , , and . Comput., 12 (10): 207 (September 2023)A heuristically enhanced gradient approximation (HEGA) algorithm for training neural networks., , and . Neurocomputing, 73 (7-9): 1303-1323 (2010)A Cellular Neural Associative Array for Symbolic Vision., and . Hybrid Neural Systems, volume 1778 of Lecture Notes in Computer Science, page 372-386. Springer, (1998)A Fuzzy Method for Learning Simple Boolean Formulas from Examples., , , , and . Computational Intelligence for Modelling and Prediction, volume 2 of Studies in Computational Intelligence, Springer, (2005)Neural network based autonomous control of a speech synthesis system., , and . Intell. Syst. Appl., (2022)Cellular Associative Symbolic Processing for Pattern Recognition., and . MFCS Workshop on Grammar Systems, page 269-279. Silesian University, Institute of Computer Science, Opava, Czech Republic, (1998)A general framework for learning rules from data., , , , , and . IEEE Trans. Neural Networks, 15 (6): 1333-1349 (2004)From synapses to rules., , , and . Cogn. Syst. Res., 3 (2): 167-201 (2002)