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1-8 of 8
Keywords: Artificial neural networks
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Journal Articles
Journal:
Kybernetes
Kybernetes (2026) 55 (2): 944–964.
Published: 22 November 2024
... Decision support system Vehicle routing problem Resilience Mathematical modeling Artificial neural networks Cold chain logistics Cold chain logistics (CCL) is essential for transporting temperature-sensitive products in industries like food and healthcare (Konovalenko et al., 2021...
Journal Articles
Isaac Chairez, Israel Alejandro Guarneros-Sandoval, Vlad Prud, Olga Andrianova, Sleptsov Ernest, Viktor Chertopolokhov, Grigory Bugriy, Arthur Mukhamedov
Journal:
Kybernetes
Kybernetes (2023) 52 (9): 2943–2957.
Published: 19 October 2022
...@mail.ru 08 04 2022 08 09 2022 19 09 2022 © Emerald Publishing Limited 2022 Emerald Publishing Limited Licensed re-use rights only Dynamic neural networks Toolbox Nonparametric model Artificial neural networks Learning laws In the case of DNN, the design...
Journal Articles
Journal:
Kybernetes
Kybernetes (2022) 51 (3): 1062–1088.
Published: 27 May 2021
... al. (2020) Bagging–Boosting Artificial neural networks Short-term electricity load forecasting Their approach uses Artificial Neural Network (ANN) as a base algorithm, while in this study, we do not have limitation on base classifier selection They just apply boosting for each bagging...
Journal Articles
Journal:
Kybernetes
Kybernetes (2013) 42 (1): 106–124.
Published: 04 January 2013
... algorithm selects the location of the centroid of a simplex as the possible minimum point of an artificial neural network (ANN) error function. The algorithm continually changes the shape of the simplex to move multiple directions in error function space. Each movement of the simplex in search space...
Journal Articles
Journal:
Kybernetes
Kybernetes (2004) 33 (8): 1332–1333.
Published: 01 September 2004
... --> Computing Artificial neural networks This is an exploration of the possibility of basing new computing strategies on the immune system of the body, in something the same way as artificial neural nets have become an accepted technique. ...
Journal Articles
Journal:
Kybernetes
Kybernetes (2001) 30 (1): 35–47.
Published: 01 February 2001
...). As knowledge about the functions of the brain was accumulated, a new technology emerged and the quest for an artificial neural network started. The brain processes information super‐quickly and super‐accurately. Moreover, the trained network still works even if certain neurons fail. It is amazing to notice...
Journal Articles
Journal:
Kybernetes
Kybernetes (2000) 29 (5-6): 638–650.
Published: 01 July 2000
...” or “metric”. © MCB UP Limited 2000 Artificial neural networks Cybernetics Learning Fractals Topology … advanced forms [of learning] which discover and use new categories can cover the creative aspects of genius. The reference to new categories implies new kinds of similarity...
Journal Articles
Journal:
Kybernetes
Kybernetes (2000) 29 (1): 31–52.
Published: 01 February 2000
... such as thresholding can be achieved with an array of comparators, but difficulties will arise when the illumination is not uniform. Artificial neural networks Cybernetics Vision Vision is one of the fundamental senses which allows mammals to make sense of their surroundings. This is achieved using...
