AIMC Topic: Stochastic Processes

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Multi-periodicity of switched neural networks with time delays and periodic external inputs under stochastic disturbances.

Neural networks : the official journal of the International Neural Network Society Apr 8, 2021
This paper presents new theoretical results on the multi-periodicity of recurrent neural networks with time delays evoked by periodic inputs under stochastic disturbances and state-dependent switching. Based on the geometric properties of activation ...
Probability Stochastic Processes Periodicity Neural Networks, Computer Time Factors
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Synchronization for stochastic coupled networks with Lévy noise via event-triggered control.

Neural networks : the official journal of the International Neural Network Society Mar 24, 2021
This paper addresses the realization of almost sure synchronization problem for a new array of stochastic networks associated with delay and Lévy noise via event-triggered control. The coupling structure of the network is governed by a continuous-tim...
Stochastic Processes Time Factors Neural Networks, Computer Markov Chains
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Bidirectional stochastic configuration network for regression problems.

Neural networks : the official journal of the International Neural Network Society Mar 18, 2021
To adapt to the reality of limited computing resources of various terminal devices in industrial applications, a randomized neural network called stochastic configuration network (SCN), which can conduct effective training without GPU, was proposed. ...
Random Allocation Stochastic Processes Regression Analysis Supervised Machine Learning
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Stochastic quasi-synchronization of heterogeneous delayed impulsive dynamical networks via single impulsive control.

Neural networks : the official journal of the International Neural Network Society Mar 18, 2021
This paper investigates the quasi-synchronization problem of the stochastic heterogeneous complex dynamical networks with impulsive couplings and multiple time-varying delays. It is shown that this kind of dynamical networks can achieve exponential q...
Neural Networks, Computer Time Factors Stochastic Processes
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PSSPNN: PatchShuffle Stochastic Pooling Neural Network for an Explainable Diagnosis of COVID-19 with Multiple-Way Data Augmentation.

Computational and mathematical methods in medicine Mar 8, 2021
AIM: COVID-19 has caused large death tolls all over the world. Accurate diagnosis is of significant importance for early treatment.
Imaging, Three-Dimensional Pneumonia Reproducibility of Results Algorithms Diagnosis, Computer-Assisted Radiography, Thoracic Databases, Factual Tuberculosis, Pulmonary Software Stochastic Processes Retrospective Studies Medical Informatics Humans Community-Acquired Infections COVID-19 Tomography, X-Ray Computed Neural Networks, Computer
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Modeling vehicle ownership with machine learning techniques in the Greater Tamale Area, Ghana.

PloS one Feb 16, 2021
Vehicle ownership modeling and prediction is a crucial task in the transportation planning processes which, traditionally, uses statistical models in the modeling process. However, with the advancement in computing power of computers and Artificial I...
Stochastic Processes Ghana Ownership Logistic Models Models, Statistical Humans Machine Learning
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General stochastic separation theorems with optimal bounds.

Neural networks : the official journal of the International Neural Network Society Feb 9, 2021
Phenomenon of stochastic separability was revealed and used in machine learning to correct errors of Artificial Intelligence (AI) systems and analyze AI instabilities. In high-dimensional datasets under broad assumptions each point can be separated f...
Stochastic Processes Machine Learning
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A stochastic numerical analysis based on hybrid NAR-RBFs networks nonlinear SITR model for novel COVID-19 dynamics.

Computer methods and programs in biomedicine Feb 7, 2021
BACKGROUND: Mathematical modeling of vector-borne diseases and forecasting of epidemics outbreak are global challenges and big point of concern worldwide. The outbreaks depend on different social and demographic factors based on human mobility struct...
Neural Networks, Computer Pandemics Humans Disease Outbreaks China Models, Statistical COVID-19 SARS-CoV-2 Stochastic Processes
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Stochastic configuration network ensembles with selective base models.

Neural networks : the official journal of the International Neural Network Society Jan 30, 2021
Studies have demonstrated that stochastic configuration networks (SCNs) have good potential for rapid data modeling because of their sufficient adequate learning power, which is theoretically guaranteed. Empirical studies have verified that the learn...
Humans Students Stochastic Processes Machine Learning Models, Neurological Learning
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Stochastic synchronization of dynamics on the human connectome.

NeuroImage Jan 14, 2021
Synchronization is a collective mechanism by which oscillatory networks achieve their functions. Factors driving synchronization include the network's topological and dynamical properties. However, how these factors drive the emergence of synchroniza...
Adolescent Connectome Stochastic Processes Adult Male Female Young Adult Humans Algorithms Brain Neural Networks, Computer
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