[HTML][HTML] Price, Complexity, and Mathematical Model
N Fu, L Geng, J Ma, X Ding - Mathematics, 2023 - mdpi.com
The whole world has entered the era of the Vuca. Some traditional methods of problem
analysis begin to fail. Complexity science is needed to study and solve problems from the …
analysis begin to fail. Complexity science is needed to study and solve problems from the …
New deep recurrent hybrid artificial neural network for forecasting seasonal time series
The simple recurrent artificial neural network is a deep artificial neural network frequently
used in the literature for solving forecasting problems. It is preferred due to its low number of …
used in the literature for solving forecasting problems. It is preferred due to its low number of …
Bayes-Optimized Adaptive Growing Neural Gas Method for Online Anomaly Detection of Industrial Streaming Data
J Zhang, L Guo, S Gao, M Li, C Hao, X Li, L Song - Applied Sciences, 2024 - mdpi.com
Online anomaly detection is critical for industrial safety and security monitoring but is facing
challenges due to the complexity of evolving data streams from working conditions and …
challenges due to the complexity of evolving data streams from working conditions and …
Ant Algorithm with Mutual Exclusion
O Andreiev, N Reshetniak, V Serzhanov… - 2023 IEEE 4th KhPI …, 2023 - ieeexplore.ieee.org
This work investigates the possibility of using the ant algorithm to control the work of a
swarm of robots in the conditions of the need for their close interaction and coordination of …
swarm of robots in the conditions of the need for their close interaction and coordination of …