AIMC Topic: Computer Simulation

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Insulator Leakage Current Prediction Using Hybrid of Particle Swarm Optimization and Gene Algorithm-Based Neural Network and Surface Spark Discharge Data.

Computational intelligence and neuroscience Aug 25, 2022
This study proposes a new superior hybrid algorithm, which is the particle swarm optimization (PSO) and gene algorithm (GA)-based neural network to predict the leakage current of insulators. The developed algorithm was utilized for the online monitor...
Neural Networks, Computer Algorithms Computer Simulation Taiwan
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Robotic simulation: validation and qualitative assessment of a general surgery resident training curriculum.

Surgical endoscopy Aug 24, 2022
BACKGROUND: The da Vinci skills simulation curriculum has been validated in the literature. The updated simulator, SimNow, features restructured exercises that have not been formally validated. The purpose of this study is to validate the SimNow resi...
Humans Computer Simulation Clinical Competence Robotics Robotic Surgical Procedures Curriculum Simulation Training
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Comparison of Deep Learning and Deterministic Algorithms for Control Modeling.

Sensors (Basel, Switzerland) Aug 24, 2022
Controlling nonlinear dynamics arises in various engineering fields. We present efforts to model the forced van der Pol system control using physics-informed neural networks (PINN) compared to benchmark methods, including idealized nonlinear feedforw...
Neural Networks, Computer Algorithms Computer Simulation Feedback Deep Learning Nonlinear Dynamics
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A Novel Forecasting Approach by the GA-SVR-GRNN Hybrid Deep Learning Algorithm for Oil Future Prices.

Computational intelligence and neuroscience Aug 21, 2022
It is hard to forecasting oil future prices accurately, which is affected by some nonlinear, nonstationary, and other chaotic characteristics. Then, a novel GA-SVR-GRNN hybrid deep learning algorithm is put forward for forecasting oil future price. F...
Neural Networks, Computer Forecasting Computer Simulation Deep Learning Support Vector Machine
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Identification of microstructures critically affecting material properties using machine learning framework based on metallurgists' thinking process.

Scientific reports Aug 20, 2022
In materials science, machine learning has been intensively researched and used in various applications. However, it is still far from achieving intelligence comparable to that of human experts in terms of creativity and explainability. In this paper...
Humans Machine Learning Computer Simulation
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Aggregation Strategy on Federated Machine Learning Algorithm for Collaborative Predictive Maintenance.

Sensors (Basel, Switzerland) Aug 19, 2022
Industry 4.0 lets the industry build compact, precise, and connected assets and also has made modern industrial assets a massive source of data that can be used in process optimization, defining product quality, and predictive maintenance (PM). Large...
Machine Learning Algorithms Computer Simulation Support Vector Machine Privacy
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Automated optimization of multilevel models of collective behaviour: application to mixed society of animals and robots.

Bioinspiration & biomimetics Aug 19, 2022
Animal societies exhibit complex dynamics that require multi-level descriptions. They are difficult to model, as they encompass information at different levels of description, such as individual physiology, individual behaviour, group behaviour and f...
Algorithms Computer Simulation Animals Robotics Mass Gatherings
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Path planning for autonomous mobile robots using multi-objective evolutionary particle swarm optimization.

PloS one Aug 19, 2022
In this article, a new path planning algorithm is proposed. The algorithm is developed on the basis of the algorithm for finding the best value using multi-objective evolutionary particle swarm optimization, known as the MOEPSO. The proposed algorith...
Algorithms Computer Simulation Robotics Time Biological Evolution
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Synergetic learning structure-based neuro-optimal fault tolerant control for unknown nonlinear systems.

Neural networks : the official journal of the International Neural Network Society Aug 18, 2022
In this paper, a synergetic learning structure-based neuro-optimal fault tolerant control (SLSNOFTC) method is proposed for unknown nonlinear continuous-time systems with actuator failures. Under the framework of the synergetic learning structure (SL...
Neural Networks, Computer Computer Simulation Reproducibility of Results Feedback Nonlinear Dynamics
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Large-Scale Neural Networks With Asymmetrical Three-Ring Structure: Stability, Nonlinear Oscillations, and Hopf Bifurcation.

IEEE transactions on cybernetics Aug 18, 2022
A large number of experiments have proved that the ring structure is a common phenomenon in neural networks. Nevertheless, a few works have been devoted to studying the neurodynamics of networks with only one ring. Little is known about the dynamics ...
Neural Networks, Computer Algorithms Computer Simulation Neurons
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