AIMC Topic:
Models, Theoretical

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A New Framework for Analysis on Stability and Bifurcation in a Class of Neural Networks With Discrete and Distributed Delays.

IEEE transactions on cybernetics Nov 20, 2014
This paper studies the stability and Hopf bifurcation in a class of high-dimension neural network involving the discrete and distributed delays under a new framework. By introducing some virtual neurons to the original system, the impact of distribut...
Algorithms Neural Networks, Computer Computer Simulation Models, Theoretical
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Prediction of water quality index in constructed wetlands using support vector machine.

Environmental science and pollution research international Nov 19, 2014
Poor water quality is a serious problem in the world which threatens human health, ecosystems, and plant/animal life. Prediction of surface water quality is a main concern in water resource and environmental systems. In this research, the support vec...
Water Pollutants Water Quality Wetlands Neural Networks, Computer Animals Models, Theoretical Support Vector Machine
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Existence and stability of periodic solution of impulsive neural systems with complex deviating arguments.

Journal of biological dynamics Nov 14, 2014
This paper discusses a class of impulsive neural networks with the variable delay and complex deviating arguments. By using Mawhin's continuation theorem of coincidence degree and the Halanay-type inequalities, several sufficient conditions for impul...
Population Dynamics Neural Networks, Computer Models, Theoretical
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Passivity analysis for memristor-based recurrent neural networks with discrete and distributed delays.

Neural networks : the official journal of the International Neural Network Society Oct 30, 2014
In this paper, based on the knowledge of memristor and recurrent neural networks (RNNs), the model of the memristor-based RNNs with discrete and distributed delays is established. By constructing proper Lyapunov functionals and using inequality techn...
Algorithms Neural Networks, Computer Models, Theoretical
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A complex-valued neural dynamical optimization approach and its stability analysis.

Neural networks : the official journal of the International Neural Network Society Oct 19, 2014
In this paper, we propose a complex-valued neural dynamical method for solving a complex-valued nonlinear convex programming problem. Theoretically, we prove that the proposed complex-valued neural dynamical approach is globally stable and convergent...
Nonlinear Dynamics Neural Networks, Computer Models, Theoretical
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Time domain passivity controller for 4-channel time-delay bilateral teleoperation.

IEEE transactions on haptics Oct 16, 2014
This paper presents an extension of the time-domain passivity control approach to a four-channel bilateral controller under the effects of time delays. Time-domain passivity control has been used successfully to stabilize teleoperation systems with p...
Touch Algorithms User-Computer Interface Computer Simulation Models, Theoretical Equipment Design Humans Robotics Time
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Artificial neural network modelling of biological oxygen demand in rivers at the national level with input selection based on Monte Carlo simulations.

Environmental science and pollution research international Oct 5, 2014
Biological oxygen demand (BOD) is the most significant water quality parameter and indicates water pollution with respect to the present biodegradable organic matter content. European countries are therefore obliged to report annual BOD values to Eur...
Decision Making Europe Water Pollution Water Quality Reproducibility of Results Models, Theoretical Neural Networks, Computer Biological Oxygen Demand Analysis Conservation of Natural Resources Monte Carlo Method Rivers Linear Models
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Understanding migraine using dynamic network biomarkers.

Cephalalgia : an international journal of headache Sep 16, 2014
BACKGROUND: Mathematical modeling approaches are becoming ever more established in clinical neuroscience. They provide insight that is key to understanding complex interactions of network phenomena, in general, and interactions within the migraine-ge...
Models, Theoretical Comprehension Neural Networks, Computer Humans Migraine Disorders Biomarkers
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Experimental analysis and mathematical prediction of Cd(II) removal by biosorption using support vector machines and genetic algorithms.

New biotechnology Sep 16, 2014
We investigated the bioremoval of Cd(II) in batch mode, using dead and living biomass of Trichoderma viride. Kinetic studies revealed three distinct stages of the biosorption process. The pseudo-second order model and the Langmuir model described wel...
Spectroscopy, Fourier Transform Infrared Water Pollutants, Chemical Models, Theoretical Support Vector Machine Cadmium Solutions Thermodynamics Hydrogen-Ion Concentration Ions Water Purification Temperature Biomass Metals Algorithms Trichoderma
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Global exponential synchronization of multiple memristive neural networks with time delay via nonlinear coupling.

IEEE transactions on neural networks and learning systems Sep 12, 2014
This paper presents theoretical results on the global exponential synchronization of multiple memristive neural networks with time delays. A novel coupling scheme is introduced, in a general topological structure described by a directed or undirected...
Time Factors Models, Theoretical Algorithms Computer Simulation Neural Networks, Computer Nonlinear Dynamics
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