Titlebook: Artificial Intelligence and Soft Computing; 21st International C Leszek Rutkowski,Rafa? Scherer,Jacek M. Zurada Conference proceedings 2023

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Konrad Biesalski,Hellmut Eckhardte (ARIMA), Support vector machines (SVM), hybrid ARIMA-SVM, and Long short-term memory (LSTM). Depending on the different types of data and the period, various models are used for prediction. A single model may be the best fit in the short term but may not be the best in long-term series data. Thus,

BUMP

Phenothiazines

Fachkr?ftemangel im Pflegesektor of interest, if the dissimilarity measure between data is given by a general norm such that the Euclidean inner product is not longer consistent to that situation. We prove mathematically that the universal approximation completeness is guaranteed also for those networks where the used semi-inner p

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Die Berechnung des GegenstandswertesIn this paper we introduce a new Knowledge Representation model, the Similarity Fuzzy Semantic Networks. It is an extension of Fuzzy Semantic Networks that incorporates . through a Similarity Inference Rule. Moreover, we show as it can be effectively applied to a trending and complex problem like the analysis of radical discourse in Twitter.

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Similarity Fuzzy Semantic Networks and?Inference. An?Application to?Analysis of?Radical Discourse inIn this paper we introduce a new Knowledge Representation model, the Similarity Fuzzy Semantic Networks. It is an extension of Fuzzy Semantic Networks that incorporates . through a Similarity Inference Rule. Moreover, we show as it can be effectively applied to a trending and complex problem like the analysis of radical discourse in Twitter.

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Artificial Intelligence and Soft Computing978-3-031-23492-7Series ISSN 0302-9743 Series E-ISSN 1611-3349

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