AIMC Topic:
Computer Simulation

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A Neural Network Based on the Metric Projector for Solving SOCCVI Problem.

IEEE transactions on neural networks and learning systems Jul 6, 2021
We propose an efficient neural network for solving the second-order cone constrained variational inequality (SOCCVI). The network is constructed using the Karush-Kuhn-Tucker (KKT) conditions of the variational inequality (VI), which is used to recast...
Nonlinear Dynamics Algorithms Problem Solving Computer Simulation Neural Networks, Computer
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Dynamics Analysis and Design for a Bidirectional Super-Ring-Shaped Neural Network With n Neurons and Multiple Delays.

IEEE transactions on neural networks and learning systems Jul 6, 2021
Recently, the dynamics of delayed neural networks has always incurred the widespread concern of scholars. However, they are mostly confined to some simplified neural networks, which are only made up of a small amount of neurons. The main cause is tha...
Neurons Linear Models Algorithms Feedback Computer Simulation Neural Networks, Computer Models, Neurological
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Minimax and Biobjective Portfolio Selection Based on Collaborative Neurodynamic Optimization.

IEEE transactions on neural networks and learning systems Jul 6, 2021
Portfolio selection is one of the important issues in financial investments. This article is concerned with portfolio selection based on collaborative neurodynamic optimization. The classic Markowitz mean-variance (MV) framework and its variant mean ...
Computer Simulation Neural Networks, Computer Models, Neurological Algorithms Models, Economic
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The Optimal Machine Learning-Based Missing Data Imputation for the Cox Proportional Hazard Model.

Frontiers in public health Jul 5, 2021
An adequate imputation of missing data would significantly preserve the statistical power and avoid erroneous conclusions. In the era of big data, machine learning is a great tool to infer the missing values. The root means square error (RMSE) and th...
Machine Learning Survival Analysis Algorithms Proportional Hazards Models Computer Simulation
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General Purpose Low-Level Reinforcement Learning Control for Multi-Axis Rotor Aerial Vehicles.

Sensors (Basel, Switzerland) Jul 2, 2021
This paper proposes a multipurpose reinforcement learning based low-level multirotor unmanned aerial vehicles control structure constructed using neural networks with model-free training. Other low-level reinforcement learning controllers developed i...
Neural Networks, Computer Algorithms Computer Simulation Learning
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A deep learning algorithm to translate and classify cardiac electrophysiology.

eLife Jul 2, 2021
The development of induced pluripotent stem cell-derived cardiomyocytes (iPSC-CMs) has been a critical in vitro advance in the study of patient-specific physiology, pathophysiology, and pharmacology. We designed a new deep learning multitask network ...
ERG1 Potassium Channel Gene Expression Regulation Electrophysiological Phenomena Induced Pluripotent Stem Cells Electrophysiologic Techniques, Cardiac Phenethylamines Myocytes, Cardiac Models, Biological Sulfonamides Algorithms Computer Simulation Humans Deep Learning Action Potentials Cell Differentiation
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Extended Kalman filter for online soft tissue characterization based on Hunt-Crossley contact model.

Journal of the mechanical behavior of biomedical materials Jul 1, 2021
Real-time soft tissue characterization is significant to robotic assisted minimally invasive surgery for achieving precise haptic control of robotic surgical tasks and providing realistic force feedback to the operator. This paper presents a nonlinea...
Feedback Robotics Nonlinear Dynamics Computer Simulation
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A convolutional neural-network framework for modelling auditory sensory cells and synapses.

Communications biology Jul 1, 2021
In classical computational neuroscience, analytical model descriptions are derived from neuronal recordings to mimic the underlying biological system. These neuronal models are typically slow to compute and cannot be integrated within large-scale neu...
Neural Networks, Computer Computer Simulation Humans Action Potentials Synapses Cochlear Nerve Reproducibility of Results Models, Neurological Hair Cells, Auditory, Inner
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Construction and Simulation of Financial Audit Model Based on Convolutional Neural Network.

Computational intelligence and neuroscience Jul 1, 2021
Big data has brought a new round of information revolution. Faced with the goal of full coverage of audit and supervision, making full use of big data is the main method to promote the realization of the goal of full coverage of audit and supervision...
Financial Audit Databases, Factual Neural Networks, Computer Computer Simulation Algorithms
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Noise Correlations for Faster and More Robust Learning.

The Journal of neuroscience : the official journal of the Society for Neuroscience Jun 30, 2021
Distributed population codes are ubiquitous in the brain and pose a challenge to downstream neurons that must learn an appropriate readout. Here we explore the possibility that this learning problem is simplified through inductive biases implemented ...
Discrimination, Psychological Attention Humans Signal-To-Noise Ratio Neural Networks, Computer Learning Animals Brain Models, Neurological Computer Simulation
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