Innovative Sales Forecasting: Utilizing Fuzzy Neural Networks for Enhanced Sales Prediction
Author:
Affiliation:
1. Poznań University of Economics and Business, Poland
2. Poznań University of Technology, Poland
3. Adam Mickiewicz University, Poland
4. Smartstock Sp. z o.o., Poland
Publisher
University of Gdańsk
Reference23 articles.
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2. [2] Aviles, A. I., Alsaleh, S. M., Montseny, E., Sobrevilla, P., and Casals, A.: A Deep-NeuroFuzzy approach for estimating the interaction forces in Robotic surgery. In: 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). 2016, pp. 1113-1119.
3. [3] Buhrmester, V., Münch, D., and Arens, M.: Analysis of Explainers of Black Box Deep Neural Networks for Computer Vision: A Survey. In: Machine Learning and Knowledge Extraction 3.4 (2021), pp. 966-989.
4. [4] Buuren, S. van: Multiple imputation of discrete and continuous data by fully conditional specification. In: Statistical Methods in Medical Research 16 (2007), pp. 219-242.
5. [5] Greff, K., Srivastava, R. K., Koutník, J., Steunebrink, B. R., and Schmidhuber, J. In: IEEE Trans. Neural Netw. Learn. Syst. 28.10 (2017), pp. 2222-2232.
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