AIMC Topic: Nonlinear Dynamics

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Complete characterization of the stability of cluster synchronization in complex dynamical networks.

Science advances Apr 22, 2016
Synchronization is an important and prevalent phenomenon in natural and engineered systems. In many dynamical networks, the coupling is balanced or adjusted to admit global synchronization, a condition called Laplacian coupling. Many networks exhibit...
Nonlinear Dynamics Electricity Physics Neural Networks, Computer Computer Systems Models, Theoretical
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A Computational Framework for Realistic Retina Modeling.

International journal of neural systems Apr 7, 2016
Computational simulations of the retina have led to valuable insights about the biophysics of its neuronal activity and processing principles. A great number of retina models have been proposed to reproduce the behavioral diversity of the different v...
Neural Networks, Computer Software Feedback, Physiological Membrane Potentials Macaca Neural Pathways Adaptation, Physiological Retina Nonlinear Dynamics Linear Models Pattern Recognition, Automated Vision, Ocular Algorithms Computer Simulation Animals Neuronal Plasticity Models, Neurological
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Global Exponential Stability of Almost Periodic Solution for Neutral-Type Cohen-Grossberg Shunting Inhibitory Cellular Neural Networks with Distributed Delays and Impulses.

Computational intelligence and neuroscience Mar 30, 2016
A kind of neutral-type Cohen-Grossberg shunting inhibitory cellular neural networks with distributed delays and impulses is considered. Firstly, by using the theory of impulsive differential equations and the contracting mapping principle, the existe...
Computer Simulation Nonlinear Dynamics Neural Inhibition Neural Networks, Computer Algorithms
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Using a Hybrid Model to Forecast the Prevalence of Schistosomiasis in Humans.

International journal of environmental research and public health Mar 23, 2016
BACKGROUND: We previously proposed a hybrid model combining both the autoregressive integrated moving average (ARIMA) and the nonlinear autoregressive neural network (NARNN) models in forecasting schistosomiasis. Our purpose in the current study was ...
Schistosomiasis Prevalence Models, Theoretical Models, Statistical Feasibility Studies Nonlinear Dynamics Neural Networks, Computer Forecasting Reproducibility of Results Humans
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Feature Selection via Chaotic Antlion Optimization.

PloS one Mar 10, 2016
BACKGROUND: Selecting a subset of relevant properties from a large set of features that describe a dataset is a challenging machine learning task. In biology, for instance, the advances in the available technologies enable the generation of a very la...
Machine Learning Nonlinear Dynamics Models, Biological
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Developing a support vector machine based QSPR model for prediction of half-life of some herbicides.

Ecotoxicology and environmental safety Mar 9, 2016
The half-life (t1/2) of 58 herbicides were modeled by quantitative structure-property relationship (QSPR) based molecular structure descriptors. After calculation and the screening of a large number of molecular descriptors, the most relevant those o...
Molecular Structure Models, Chemical Half-Life Support Vector Machine Quantitative Structure-Activity Relationship Nonlinear Dynamics Herbicides Linear Models
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Vascular Dynamics Aid a Coupled Neurovascular Network Learn Sparse Independent Features: A Computational Model.

Frontiers in neural circuits Feb 26, 2016
Cerebral vascular dynamics are generally thought to be controlled by neural activity in a unidirectional fashion. However, both computational modeling and experimental evidence point to the feedback effects of vascular dynamics on neural activity. Va...
Models, Neurological Neurovascular Coupling Humans Neurons Vasomotor System Neural Networks, Computer Computer Simulation Nonlinear Dynamics Animals
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Experimental Matching of Instances to Heuristics for Constraint Satisfaction Problems.

Computational intelligence and neuroscience Feb 1, 2016
Constraint satisfaction problems are of special interest for the artificial intelligence and operations research community due to their many applications. Although heuristics involved in solving these problems have largely been studied in the past, l...
Artificial Intelligence Algorithms Computer Simulation Heuristics Humans Models, Theoretical Nonlinear Dynamics Personal Satisfaction
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Chaotic Teaching-Learning-Based Optimization with Lévy Flight for Global Numerical Optimization.

Computational intelligence and neuroscience Jan 31, 2016
Recently, teaching-learning-based optimization (TLBO), as one of the emerging nature-inspired heuristic algorithms, has attracted increasing attention. In order to enhance its convergence rate and prevent it from getting stuck in local optima, a nove...
Artificial Intelligence Algorithms Learning Motion Probability Humans Teaching Nonlinear Dynamics Problem Solving
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The Study of Intelligent Vehicle Navigation Path Based on Behavior Coordination of Particle Swarm.

Computational intelligence and neuroscience Jan 12, 2016
In the behavior dynamics model, behavior competition leads to the shock problem of the intelligent vehicle navigation path, because of the simultaneous occurrence of the time-variant target behavior and obstacle avoidance behavior. Considering the sa...
Spatial Navigation Algorithms Computer Simulation Time Factors Models, Theoretical Nonlinear Dynamics Behavior Humans Artificial Intelligence
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