AIMC Topic: Computer Simulation

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Artificial intelligence in medicine: humans need not apply?

The New Zealand medical journal May 6, 2016
Artificial intelligence (AI) is a rapidly growing field with a wide range of applications. Driven by economic constraints and the potential to reduce human error, we believe that over the coming years AI will perform a significant amount of the diagn...
Biomedical Research Decision Support Systems, Clinical Medical Informatics Applications Humans Artificial Intelligence Computer Simulation
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A hierarchical model for integrating unsupervised generative embedding and empirical Bayes.

Journal of neuroscience methods Apr 30, 2016
BACKGROUND: Generative models of neuroimaging data, such as dynamic causal models (DCMs), are commonly used for inferring effective connectivity from individual subject data. Recently introduced "generative embedding" approaches have used DCM-based c...
Humans Software Reproducibility of Results Adult Male Brain Computer Simulation Female Bayes Theorem Models, Neurological Neuroimaging Schizophrenia Magnetic Resonance Imaging Models, Statistical Cluster Analysis Markov Chains Monte Carlo Method Unsupervised Machine Learning
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A Fly-Inspired Mushroom Bodies Model for Sensory-Motor Control Through Sequence and Subsequence Learning.

International journal of neural systems Apr 28, 2016
Classification and sequence learning are relevant capabilities used by living beings to extract complex information from the environment for behavioral control. The insect world is full of examples where the presentation time of specific stimuli shap...
Perception Motor Activity Mushroom Bodies Animals Reward Models, Neurological Drosophila melanogaster Action Potentials Decision Making Robotics Neurons Neural Networks, Computer Computer Simulation Learning
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An Improved Genetic Fuzzy Logic Control Method to Reduce the Enlargement of Coal Floor Deformation in Shearer Memory Cutting Process.

Computational intelligence and neuroscience Apr 27, 2016
In order to reduce the enlargement of coal floor deformation and the manual adjustment frequency of rocker arms, an improved approach through integration of improved genetic algorithm and fuzzy logic control (GFLC) method is proposed. The enlargement...
Disasters Models, Genetic Algorithms Predictive Value of Tests Humans Models, Theoretical Computer Simulation Coal Neural Networks, Computer Fuzzy Logic Safety Public Health
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Parallelizing Backpropagation Neural Network Using MapReduce and Cascading Model.

Computational intelligence and neuroscience Apr 27, 2016
Artificial Neural Network (ANN) is a widely used algorithm in pattern recognition, classification, and prediction fields. Among a number of neural networks, backpropagation neural network (BPNN) has become the most famous one due to its remarkable fu...
Neural Networks, Computer Machine Learning Algorithms Humans Neurons Computer Simulation Models, Theoretical Models, Neurological
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A self-taught artificial agent for multi-physics computational model personalization.

Medical image analysis Apr 21, 2016
Personalization is the process of fitting a model to patient data, a critical step towards application of multi-physics computational models in clinical practice. Designing robust personalization algorithms is often a tedious, time-consuming, model- ...
Reproducibility of Results Sensitivity and Specificity Physics Artificial Intelligence Computer Simulation Precision Medicine Humans
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Synthesis of recurrent neural networks for dynamical system simulation.

Neural networks : the official journal of the International Neural Network Society Apr 20, 2016
We review several of the most widely used techniques for training recurrent neural networks to approximate dynamical systems, then describe a novel algorithm for this task. The algorithm is based on an earlier theoretical result that guarantees the q...
Neural Networks, Computer Algorithms Computer Simulation
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Global exponential stability for switched memristive neural networks with time-varying delays.

Neural networks : the official journal of the International Neural Network Society Apr 20, 2016
This paper considers the problem of exponential stability for switched memristive neural networks (MNNs) with time-varying delays. Different from most of the existing papers, we model a memristor as a continuous system, and view switched MNNs as swit...
Uncertainty Time Factors Models, Theoretical Neural Networks, Computer Algorithms Computer Simulation
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Prediction of Cascading Failures in Spatial Networks.

PloS one Apr 19, 2016
Cascading overload failures are widely found in large-scale parallel systems and remain a major threat to system reliability; therefore, they are of great concern to maintainers and managers of different systems. Accurate cascading failure prediction...
Neural Networks, Computer Machine Learning Reproducibility of Results Models, Theoretical Algorithms Computer Simulation
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Modeling Dynamic Systems with Efficient Ensembles of Process-Based Models.

PloS one Apr 14, 2016
Ensembles are a well established machine learning paradigm, leading to accurate and robust models, predominantly applied to predictive modeling tasks. Ensemble models comprise a finite set of diverse predictive models whose combined output is expecte...
Algorithms Computer Simulation Animals Ecosystem Lakes Population Dynamics Machine Learning Models, Biological Predatory Behavior
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