AIMC Topic: Computer Simulation

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Hybrid Artificial Root Foraging Optimizer Based Multilevel Threshold for Image Segmentation.

Computational intelligence and neuroscience Sep 20, 2016
This paper proposes a new plant-inspired optimization algorithm for multilevel threshold image segmentation, namely, hybrid artificial root foraging optimizer (HARFO), which essentially mimics the iterative root foraging behaviors. In this algorithm ...
Pattern Recognition, Automated Plant Physiological Phenomena Computer Simulation Artificial Intelligence Plants Algorithms Image Interpretation, Computer-Assisted
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Delay-distribution-dependent H state estimation for delayed neural networks with (x,v)-dependent noises and fading channels.

Neural networks : the official journal of the International Neural Network Society Sep 19, 2016
This paper deals with the H state estimation problem for a class of discrete-time neural networks with stochastic delays subject to state- and disturbance-dependent noises (also called (x,v)-dependent noises) and fading channels. The time-varying sto...
Time Factors Models, Theoretical Noise Algorithms Computer Simulation Neurons Probability Neural Networks, Computer
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Spiking Neural P Systems with Neuron Division and Dissolution.

PloS one Sep 14, 2016
Spiking neural P systems are a new candidate in spiking neural network models. By using neuron division and budding, such systems can generate/produce exponential working space in linear computational steps, thus provide a way to solve computational ...
Neurons Neural Networks, Computer Computer Simulation Action Potentials Humans
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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 ...
Subthalamic Nucleus Uncertainty Electrodes, Implanted Basal Ganglia Stochastic Processes Finite Element Analysis Models, Neurological Mice, Inbred C57BL Parkinson Disease Deep Brain Stimulation Nonlinear Dynamics Cerebral Cortex Computer Simulation Animals Neural Networks, Computer Mice
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ACID: Association Correction for Imbalanced Data in GWAS.

IEEE/ACM transactions on computational biology and bioinformatics Sep 13, 2016
Genome-wide association study (GWAS) has been widely witnessed as a powerful tool for revealing suspicious loci from various diseases. However, real world GWAS tasks always suffer from the data imbalance problem of sufficient control samples and limi...
Computer Simulation Stomach Neoplasms Genome-Wide Association Study Genomics Databases, Genetic Urinary Bladder Neoplasms Machine Learning Humans Algorithms Markov Chains Research Design
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Maze learning by a hybrid brain-computer system.

Scientific reports Sep 13, 2016
The combination of biological and artificial intelligence is particularly driven by two major strands of research: one involves the control of mechanical, usually prosthetic, devices by conscious biological subjects, whereas the other involves the co...
Animals Male Rats Brain Computer Simulation Behavior, Animal Memory Maze Learning Rats, Sprague-Dawley Neural Networks, Computer Stress, Mechanical Artificial Intelligence Brain-Computer Interfaces Algorithms
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Machine-Learning Based Channel Quality and Stability Estimation for Stream-Based Multichannel Wireless Sensor Networks.

Sensors (Basel, Switzerland) Sep 12, 2016
Wireless sensor networks (WSNs) have become more and more diversified and are today able to also support high data rate applications, such as multimedia. In this case, per-packet channel handshaking/switching may result in inducing additional overhea...
Computer Simulation Computer Communication Networks Wireless Technology Machine Learning Algorithms
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A neurodynamic approach to convex optimization problems with general constraint.

Neural networks : the official journal of the International Neural Network Society Sep 9, 2016
This paper presents a neurodynamic approach with a recurrent neural network for solving convex optimization problems with general constraint. It is proved that for any initial point, the state of the proposed neural network reaches the constraint set...
Neural Networks, Computer Algorithms Computer Simulation Problem Solving
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A Novel Hybrid Clonal Selection Algorithm with Combinatorial Recombination and Modified Hypermutation Operators for Global Optimization.

Computational intelligence and neuroscience Sep 8, 2016
Artificial immune system is one of the most recently introduced intelligence methods which was inspired by biological immune system. Most immune system inspired algorithms are based on the clonal selection principle, known as clonal selection algorit...
Mutation Biomimetics Cloning, Molecular Humans Animals Artificial Intelligence Models, Genetic Immune System Algorithms Models, Immunological Computer Simulation
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Adaptive PID control based on orthogonal endocrine neural networks.

Neural networks : the official journal of the International Neural Network Society Sep 5, 2016
A new intelligent hybrid structure used for online tuning of a PID controller is proposed in this paper. The structure is based on two adaptive neural networks, both with built-in Chebyshev orthogonal polynomials. First substructure network is a regu...
Algorithms Computer Simulation Models, Theoretical Neural Networks, Computer Signal Processing, Computer-Assisted Endocrine System Environment
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