Abstract
The novel hybrid learning model based on neural networks and grammatical inference is proposed in the paper. The model is used within the multi-derivational parsing of vague language methodology. The foundations of the methodology and the learning algorithms are presented. The model has been used for the implementation of the short term electrical load forecasting system.
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Flasiński, M., Jurek, J., Peszek, T. (2022). Hybrid Learning Model for Syntactic Pattern Recognition. In: Choraś, M., Choraś, R.S., Kurzyński, M., Trajdos, P., Pejaś, J., Hyla, T. (eds) Progress in Image Processing, Pattern Recognition and Communication Systems. CORES IP&C ACS 2021 2021 2021. Lecture Notes in Networks and Systems, vol 255. Springer, Cham. https://doi.org/10.1007/978-3-030-81523-3_2
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DOI: https://doi.org/10.1007/978-3-030-81523-3_2
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