Review on the recent progress in nuclear plant dynamical modeling and control
Nuclear plant modeling and control is an important subject in nuclear power engineering,
giving the dynamic model from process mechanics and/or operational data as well as …
giving the dynamic model from process mechanics and/or operational data as well as …
Novel deterministic and probabilistic forecasting methods for crude oil price employing optimized deep learning, statistical and hybrid models
SK Purohit, S Panigrahi - Information Sciences, 2024 - Elsevier
In this paper, individual and hybrid methods are proposed employing optimized statistical
and deep learning (DL) models for deterministic (point) and probabilistic (interval) …
and deep learning (DL) models for deterministic (point) and probabilistic (interval) …
Adjusted SpikeProp algorithm for recurrent spiking neural networks with LIF neurons
K Laddach, R Łangowski - Applied Soft Computing, 2024 - Elsevier
A problem related to the development of a supervised learning method for recurrent spiking
neural networks is addressed in the paper. The widely used Leaky-Integrate-and-Fire model …
neural networks is addressed in the paper. The widely used Leaky-Integrate-and-Fire model …
Comparative analysis of the implementation of support vector machines and long short-term memory artificial neural networks in municipal solid waste management …
JK Solano Meza, D Orjuela Yepes… - International Journal of …, 2023 - mdpi.com
The development of methodologies to support decision-making in municipal solid waste
(MSW) management processes is of great interest for municipal administrations. Artificial …
(MSW) management processes is of great interest for municipal administrations. Artificial …
Model reference control by recurrent neural network built with paraconsistent neurons for trajectory tracking of a rotary inverted pendulum
This investigation presents a recurrent paraconsistent neural network (RPNN), as the main
element of the model reference control (MRC) strategy for the rotary inverted pendulum …
element of the model reference control (MRC) strategy for the rotary inverted pendulum …
Neural optimization machine: a neural network approach for optimization and its application in additive manufacturing with physics-guided learning
Neural networks (NNs) are increasingly used in design to construct the objective functions
and constraints, which leads to the needs of optimization of NN models with respect to …
and constraints, which leads to the needs of optimization of NN models with respect to …
Neural optimization machine: A neural network approach for optimization
A novel neural network (NN) approach is proposed for constrained optimization. The
proposed method uses a specially designed NN architecture and training/optimization …
proposed method uses a specially designed NN architecture and training/optimization …
A recurrent neural network-based identification of complex nonlinear dynamical systems: a novel structure, stability analysis and a comparative study
For the purpose of identifying nonlinear dynamic systems, a compound recurrent feed-
forward neural network based on the combination of feed-forward neural network (FFNN) …
forward neural network based on the combination of feed-forward neural network (FFNN) …
Advanced genetic algorithm-based signal processing for multi-degradation detection in steam turbines
This research contributes to the field of reliability engineering and system safety by
introducing an innovative diagnostic method to enhance the reliability and safety of complex …
introducing an innovative diagnostic method to enhance the reliability and safety of complex …
Development of an algorithm for multicriteria optimization of deep learning neural networks
IA Alexandrov, AV Kirichek, VZ Kuklin… - HighTech and …, 2023 - hightechjournal.org
Nowadays, machine learning methods are actively used to process big data. A promising
direction is neural networks, in which structure optimization occurs on the principles of self …
direction is neural networks, in which structure optimization occurs on the principles of self …