AIMC Topic: Computer Simulation

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A Personalized Navigation Route Recommendation Strategy Based on Differential Perceptron Tracking User's Driving Preference.

Computational intelligence and neuroscience
With the increasing frequency of autonomous driving, more and more attention is paid to personalized path planning. However, the path selection preferences of users will change with internal or external factors. Therefore, this paper proposes a perso...

Inferring the interaction rules of complex systems with graph neural networks and approximate Bayesian computation.

Journal of the Royal Society, Interface
Inferring the underlying processes that drive collective behaviour in biological and social systems is a significant statistical and computational challenge. While simulation models have been successful in qualitatively capturing many of the phenomen...

Coexistence and local stability of multiple equilibrium points for fractional-order state-dependent switched competitive neural networks with time-varying delays.

Neural networks : the official journal of the International Neural Network Society
This paper investigates the coexistence and local stability of multiple equilibrium points for a class of competitive neural networks with sigmoidal activation functions and time-varying delays, in which fractional-order derivative and state-dependen...

Predefined-time synchronization of coupled neural networks with switching parameters and disturbed by Brownian motion.

Neural networks : the official journal of the International Neural Network Society
This article focuses on predefined time synchronization problem for a class of signal switching neural networks with time-varying delays. In the network models, we not only consider the coupling characteristics in the following networks, but also con...

Train-induced vibration attenuation measurements and prediction from ground soil to building column.

Environmental science and pollution research international
The investigation of the influence of soil-structure coupling on the vibration propagation pattern is the key to ensuring the reliability of the prediction of train-induced building vibration. This study selects different metro depots with over-track...

Do Skills Naturally Transfer Between Multiport and Single-Port Robotic Platforms? A Comparative Study in a Simulated Environment.

Journal of endourology
With introduction of the da Vinci single-port (SP) system, we evaluated which multiport (MP) robotic skills are naturally transferable to the SP platform. Three groups of urologists: Group 1 (5 inexperienced in MP and SP), Group 2 (5 experienced in...

Pressure optimization for hydraulic-electric hybrid biped robot power unit based on genetic algorithm.

Scientific reports
Biped robots have attracted increasing attention because of their flexible movement and strong adaptability to the surroundings. However, the small output torque and the weak impact resistance of the motor drive, as well as the large energy consumpti...

Computational models of Idling brain activity for memory processing.

Neuroscience research
Studying the underlying neural mechanisms of cognitive functions of the brain is one of the central questions in modern biology. Moreover, it has significantly impacted the development of novel technologies in artificial intelligence. Spontaneous act...

Identification of light nonaqueous phase liquid groundwater contamination source based on empirical mode decomposition and deep learning.

Environmental science and pollution research international
The simulation optimization method was used to the identification of light nonaqueous phase liquid (LNAPL) groundwater contamination source (GCS) with the help of a hypothetical case in this study. When applying the simulation optimization method to ...

Weight Adaptive Path Tracking Control for Autonomous Vehicles Based on PSO-BP Neural Network.

Sensors (Basel, Switzerland)
In order to improve the tracking adaptability of autonomous vehicles under different vehicle speeds and road curvature, this paper develops a weight adaptive model prediction control system (AMPC) based on PSO-BP neural network, which consists of a d...