AIMC Topic: Computer Simulation

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Efficient Approach for RLS Type Learning in TSK Neural Fuzzy Systems.

IEEE transactions on cybernetics Dec 29, 2016
This paper presents an efficient approach for the use of recursive least square (RLS) learning algorithm in Takagi-Sugeno-Kang neural fuzzy systems. In the use of RLS, reduced covariance matrix, of which the off-diagonal blocks defining the correlati...
Computer Simulation Neural Networks, Computer Fuzzy Logic Machine Learning Least-Squares Analysis
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Multistability of Delayed Recurrent Neural Networks with Mexican Hat Activation Functions.

Neural computation Dec 28, 2016
This letter studies the multistability analysis of delayed recurrent neural networks with Mexican hat activation function. Some sufficient conditions are obtained to ensure that an [Formula: see text]-dimensional recurrent neural network can have [Fo...
Neural Networks, Computer Computer Simulation
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Using LTI Dynamics to Identify the Influential Nodes in a Network.

PloS one Dec 28, 2016
Networks are used for modeling numerous technical, social or biological systems. In order to better understand the system dynamics, it is a matter of great interest to identify the most important nodes within the network. For a large set of problems,...
Algorithms Computer Simulation Reproducibility of Results Linear Models Humans Neural Networks, Computer
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Training Feedforward Neural Networks Using Symbiotic Organisms Search Algorithm.

Computational intelligence and neuroscience Dec 25, 2016
Symbiotic organisms search (SOS) is a new robust and powerful metaheuristic algorithm, which stimulates the symbiotic interaction strategies adopted by organisms to survive and propagate in the ecosystem. In the supervised learning area, it is a chal...
Algorithms Feedback Humans Symbolism Computer Simulation Neural Networks, Computer Data Mining Learning Analysis of Variance
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The Intelligent Control System and Experiments for an Unmanned Wave Glider.

PloS one Dec 22, 2016
The control system designing of Unmanned Wave Glider (UWG) is challenging since the control system is weak maneuvering, large time-lag and large disturbance, which is difficult to establish accurate mathematical model. Meanwhile, to complete marine e...
Computer Simulation Models, Theoretical Remote Sensing Technology Equipment Design Aircraft Humans Artificial Intelligence Seawater Software Algorithms
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Human-in-the-loop active electrosense.

Bioinspiration & biomimetics Dec 20, 2016
Active electrosense is a non-visual, short range sensing system used by weakly electric fish, enabling such fish to locate and identify objects in total darkness. Here we report initial findings from the use of active electrosense for object localiza...
User-Computer Interface Water Robotics Computer Simulation Animals Biomimetic Materials Electric Fish Darkness Equipment Design Biomimetics Sensation Humans
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EEG artifacts reduction by multivariate empirical mode decomposition and multiscale entropy for monitoring depth of anaesthesia during surgery.

Medical & biological engineering & computing Dec 19, 2016
Electroencephalography (EEG) has been widely utilized to measure the depth of anaesthesia (DOA) during operation. However, the EEG signals are usually contaminated by artifacts which have a consequence on the measured DOA accuracy. In this study, an ...
Multivariate Analysis Reproducibility of Results Entropy Consciousness Monitors Sensitivity and Specificity Intraoperative Neurophysiological Monitoring Artifacts Models, Statistical Pattern Recognition, Automated Data Interpretation, Statistical Electroencephalography Humans Neural Networks, Computer Algorithms Brain Computer Simulation
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Comparison of Classifier Architectures for Online Neural Spike Sorting.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Dec 19, 2016
High-density, intracranial recordings from micro-electrode arrays need to undergo Spike Sorting in order to associate the recorded neuronal spikes to particular neurons. This involves spike detection, feature extraction, and classification. To reduce...
Models, Statistical Neurons Pattern Recognition, Automated Nerve Net Online Systems Computer Systems Models, Neurological Action Potentials Sensitivity and Specificity Animals Machine Learning Humans Computer Simulation Reproducibility of Results
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A "Tuned" Mask Learnt Approach Based on Gravitational Search Algorithm.

Computational intelligence and neuroscience Dec 19, 2016
Texture image classification is an important topic in many applications in machine vision and image analysis. Texture feature extracted from the original texture image by using "Tuned" mask is one of the simplest and most effective methods. However, ...
Data Mining Image Interpretation, Computer-Assisted Pattern Recognition, Automated Algorithms Gravitation Humans Computer Simulation Artificial Intelligence
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Theoretical and Empirical Analysis of a Spatial EA Parallel Boosting Algorithm.

Evolutionary computation Dec 16, 2016
Many real-world problems involve massive amounts of data. Under these circumstances learning algorithms often become prohibitively expensive, making scalability a pressing issue to be addressed. A common approach is to perform sampling to reduce the ...
Databases, Factual Computer Simulation Models, Theoretical Humans Artificial Intelligence Algorithms
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