AIMC Topic: Nonlinear Dynamics

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Methodology of Recurrent Laguerre-Volterra Network for Modeling Nonlinear Dynamic Systems.

IEEE transactions on neural networks and learning systems Jun 24, 2016
In this paper, we have introduced a general modeling approach for dynamic nonlinear systems that utilizes a variant of the simulated annealing algorithm for training the Laguerre-Volterra network (LVN) to overcome the local minima and convergence pro...
Humans Neural Networks, Computer Algorithms Nonlinear Dynamics Models, Neurological Action Potentials Neurons Computer Simulation Animals
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FDI based on Artificial Neural Network for Low-Voltage-Ride-Through in DFIG-based Wind Turbine.

ISA transactions Jun 2, 2016
As per modern electrical grid rules, Wind Turbine needs to operate continually even in presence severe grid faults as Low Voltage Ride Through (LVRT). Hence, a new LVRT Fault Detection and Identification (FDI) procedure has been developed to take the...
Nonlinear Dynamics Mechanical Phenomena Electric Power Supplies Equipment Failure Signal Processing, Computer-Assisted Neural Networks, Computer Computer Simulation Wind Algorithms
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Extended dissipative state estimation for memristive neural networks with time-varying delay.

ISA transactions Jun 2, 2016
This paper investigates the problem of extended dissipative state estimation for memristor-based neural networks (MNNs) with time-varying delay. Based on both nonsmooth analysis and the construction of a new Lyapunov-Krasovskii functional, the extend...
Neurons Nonlinear Dynamics Algorithms Memory Neural Networks, Computer Computer Simulation
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New results on anti-synchronization of switched neural networks with time-varying delays and lag signals.

Neural networks : the official journal of the International Neural Network Society May 30, 2016
This paper investigates the problem of global exponential anti-synchronization of a class of switched neural networks with time-varying delays and lag signals. Considering the packed circuits, the controller is dependent on the output of the system a...
Nonlinear Dynamics Computer Security Time Factors Neurons Algorithms Neural Networks, Computer Computer Simulation
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Have artificial neural networks met expectations in drug discovery as implemented in QSAR framework?

Expert opinion on drug discovery May 30, 2016
INTRODUCTION: Artificial neural networks (ANNs) are highly adaptive nonlinear optimization algorithms that have been applied in many diverse scientific endeavors, ranging from economics, engineering, physics, and chemistry to medical science. Notably...
Drug Discovery Models, Theoretical Pharmaceutical Preparations Animals Drug Design Nonlinear Dynamics Quantitative Structure-Activity Relationship Neural Networks, Computer Humans Algorithms
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A One-Layer Recurrent Neural Network for Pseudoconvex Optimization Problems With Equality and Inequality Constraints.

IEEE transactions on cybernetics May 24, 2016
Pseudoconvex optimization problem, as an important nonconvex optimization problem, plays an important role in scientific and engineering applications. In this paper, a recurrent one-layer neural network is proposed for solving the pseudoconvex optimi...
Algorithms Nonlinear Dynamics Neural Networks, Computer
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A Hybrid Neural Network Model for Sales Forecasting Based on ARIMA and Search Popularity of Article Titles.

Computational intelligence and neuroscience May 22, 2016
Enhancing sales and operations planning through forecasting analysis and business intelligence is demanded in many industries and enterprises. Publishing industries usually pick attractive titles and headlines for their stories to increase sales, sin...
Vocabulary Forecasting Information Storage and Retrieval Nonlinear Dynamics Regression Analysis Reproducibility of Results Humans Commerce Publications Models, Statistical Neural Networks, Computer
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Course Control of Underactuated Ship Based on Nonlinear Robust Neural Network Backstepping Method.

Computational intelligence and neuroscience May 18, 2016
The problem of course control for underactuated surface ship is addressed in this paper. Firstly, neural networks are adopted to determine the parameters of the unknown part of ideal virtual backstepping control, even the weight values of neural netw...
Neural Networks, Computer Algorithms Computer Simulation Humans Nonlinear Dynamics Time Factors Transportation Ships
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Extensions to a manifold learning framework for time-series analysis on dynamic manifolds in bioelectric signals.

Physical review. E Apr 29, 2016
This paper addresses the challenge of extracting meaningful information from measured bioelectric signals generated by complex, large scale physiological systems such as the brain or the heart. We focus on a combination of the well-known Laplacian ei...
Signal Processing, Computer-Assisted Heart Signal-To-Noise Ratio Electrophysiological Phenomena Humans Nonlinear Dynamics Machine Learning Time Factors Brain Electrocardiography Electroencephalography
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Semi-supervised clustering of fractionated electrograms for electroanatomical atrial mapping.

Biomedical engineering online Apr 26, 2016
BACKGROUND: Electrogram-guided ablation procedures have been proposed as an alternative strategy consisting of either mapping and ablating focal sources or targeting complex fractionated electrograms in atrial fibrillation (AF). However, the incomple...
Nonlinear Dynamics Electrophysiologic Techniques, Cardiac Cluster Analysis Heart Atria Humans Signal Processing, Computer-Assisted Databases, Factual Supervised Machine Learning
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