AIMC Topic: Nonlinear Dynamics

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Estimation of biogas and methane yields in an UASB treating potato starch processing wastewater with backpropagation artificial neural network.

Bioresource technology Dec 16, 2016
Three-layered feedforward backpropagation (BP) artificial neural networks (ANN) and multiple nonlinear regression (MnLR) models were developed to estimate biogas and methane yield in an upflow anaerobic sludge blanket (UASB) reactor treating potato s...
Anaerobiosis Methane Bioreactors Algorithms Regression Analysis Solanum tuberosum Biofuels Biological Oxygen Demand Analysis Starch Nonlinear Dynamics Sewage Neural Networks, Computer Wastewater
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Random synaptic feedback weights support error backpropagation for deep learning.

Nature communications Nov 8, 2016
The brain processes information through multiple layers of neurons. This deep architecture is representationally powerful, but complicates learning because it is difficult to identify the responsible neurons when a mistake is made. In machine learnin...
Machine Learning Algorithms Feedback Nonlinear Dynamics Neural Networks, Computer
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Analysis of Machine Learning Techniques for Heart Failure Readmissions.

Circulation. Cardiovascular quality and outcomes Nov 8, 2016
BACKGROUND: The current ability to predict readmissions in patients with heart failure is modest at best. It is unclear whether machine learning techniques that address higher dimensional, nonlinear relationships among variables would enhance predict...
Support Vector Machine Randomized Controlled Trials as Topic Heart Failure Time Factors Logistic Models Nonlinear Dynamics Data Mining Databases, Factual Risk Factors Male Telemedicine Female Humans Aged Middle Aged Patient Readmission Reproducibility of Results Algorithms Risk Assessment
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A new switching control for finite-time synchronization of memristor-based recurrent neural networks.

Neural networks : the official journal of the International Neural Network Society Nov 4, 2016
In this paper, finite-time synchronization (FTS) of memristor-based recurrent neural networks (MNNs) with time-varying delays is investigated by designing a new switching controller. First, by using the differential inclusions theory and set-valued m...
Time Factors Nonlinear Dynamics Neural Networks, Computer Algorithms
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Finite-time synchronization of uncertain coupled switched neural networks under asynchronous switching.

Neural networks : the official journal of the International Neural Network Society Oct 29, 2016
This paper deals with the finite-time synchronization problem for a class of uncertain coupled switched neural networks under asynchronous switching. By constructing appropriate Lyapunov-like functionals and using the average dwell time technique, so...
Time Uncertainty Feedback Nonlinear Dynamics Neural Networks, Computer Algorithms
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Adaptive Fuzzy Control for Uncertain Fractional-Order Financial Chaotic Systems Subjected to Input Saturation.

PloS one Oct 26, 2016
In this paper, control of uncertain fractional-order financial chaotic system with input saturation and external disturbance is investigated. The unknown part of the input saturation as well as the system's unknown nonlinear function is approximated ...
Financial Management Nonlinear Dynamics Uncertainty Fuzzy Logic
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Almost Periodic Dynamics for Memristor-Based Shunting Inhibitory Cellular Neural Networks with Leakage Delays.

Computational intelligence and neuroscience Oct 19, 2016
We investigate a class of memristor-based shunting inhibitory cellular neural networks with leakage delays. By applying a new Lyapunov function method, we prove that the neural network which has a unique almost periodic solution is globally exponenti...
Neural Inhibition Periodicity Nonlinear Dynamics Memory Humans Neural Networks, Computer
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Hopf Bifurcations in Directed Acyclic Networks of Linearly Coupled Hindmarsh-Rose Systems.

Acta biotheoretica Oct 3, 2016
This paper addresses the existence of Hopf bifurcations in a directed acyclic network of neurons, each of them being modeled by a Hindmarsh-Rose (HR) neuronal model. The bifurcation parameter is the small parameter corresponding to the ratio of time ...
Humans Nonlinear Dynamics Information Storage and Retrieval Nerve Net Neural Networks, Computer Algorithms Models, Neurological
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Adaptive Neural Tracking Control for a Class of Nonlinear Systems With Dynamic Uncertainties.

IEEE transactions on cybernetics Sep 22, 2016
This paper considers the problem of adaptive neural control of nonlower triangular nonlinear systems with unmodeled dynamics and dynamic disturbances. The design difficulties appeared in the unmodeled dynamics and nonlower triangular form are handled...
Neural Networks, Computer Algorithms Nonlinear Dynamics Computer Simulation Feedback
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Uncertainty Quantification of Oscillation Suppression During DBS in a Coupled Finite Element and Network Model.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Sep 13, 2016
Models of the cortico-basal ganglia network and volume conductor models of the brain can provide insight into the mechanisms of action of deep brain stimulation (DBS). In this study, the coupling of a network model, under parkinsonian conditions, to ...
Electrodes, Implanted Basal Ganglia Subthalamic Nucleus Animals Stochastic Processes Mice Nonlinear Dynamics Neural Networks, Computer Models, Neurological Finite Element Analysis Cerebral Cortex Computer Simulation Mice, Inbred C57BL Parkinson Disease Deep Brain Stimulation Uncertainty
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