AIMC Topic:
Computer Simulation

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Machine-Learning Approach to Optimize SMOTE Ratio in Class Imbalance Dataset for Intrusion Detection.

Computational intelligence and neuroscience Nov 1, 2018
The KDD CUP 1999 intrusion detection dataset was introduced at the third international knowledge discovery and data mining tools competition, and it has been widely used for many studies. The attack types of KDD CUP 1999 dataset are divided into four...
ROC Curve Algorithms Computer Simulation Data Mining Humans Classification Machine Learning
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An Optimization Framework of Multiobjective Artificial Bee Colony Algorithm Based on the MOEA Framework.

Computational intelligence and neuroscience Nov 1, 2018
The artificial bee colony (ABC) algorithm has become one of the popular optimization metaheuristics and has been proven to perform better than many state-of-the-art algorithms for dealing with complex multiobjective optimization problems. However, th...
Humans Biological Evolution Computer Simulation Artificial Intelligence Animals Algorithms Biomimetics Bees
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Optimal Synthesis of Four-Bar Linkage Path Generation through Evolutionary Computation with a Novel Constraint Handling Technique.

Computational intelligence and neuroscience Nov 1, 2018
This paper presents a novel constraint handling technique for optimum path generation of four-bar linkages using evolutionary algorithms (EAs). Usually, the design problem is assigned to minimize the error between desired and obtained coupler curves ...
Biological Evolution Teaching Handling, Psychological Learning Algorithms Animals Humans Computer Simulation Machine Learning
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Storage Capacities of Twin-Multistate Quaternion Hopfield Neural Networks.

Computational intelligence and neuroscience Nov 1, 2018
A twin-multistate quaternion Hopfield neural network (TMQHNN) is a multistate Hopfield model and can store multilevel information, such as image data. Storage capacity is an important problem of Hopfield neural networks. Jankowski et al. approximated...
Humans Neurons Information Storage and Retrieval Neural Networks, Computer Computer Simulation Models, Neurological Algorithms
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A Kernel Bayesian Adaptive Resonance Theory with A Topological Structure.

International journal of neural systems Oct 30, 2018
This paper attempts to solve the typical problems of self-organizing growing network models, i.e. (a) an influence of the order of input data on the self-organizing ability, (b) an instability to high-dimensional data and an excessive sensitivity to ...
Bayes Theorem Algorithms Computer Simulation Neural Networks, Computer
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Identification of Hidden Sources by Estimating Instantaneous Causality in High-Dimensional Biomedical Time Series.

International journal of neural systems Oct 29, 2018
The study of connectivity patterns of a system's variables, such as multi-channel electroencephalograms (EEG), is of utmost importance towards a better understanding of its internal evolutionary mechanisms. Here, the problem of estimating the connect...
Electroencephalography Epilepsy Neural Networks, Computer Computer Simulation Humans
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Human-like hopping in machines : Feedback- versus feed-forward-controlled motions.

Biological cybernetics Oct 28, 2018
Template models of legged locomotion are powerful tools for gait analysis, but can also inspire robot design and control. In this paper, a spring-loaded inverted pendulum (SLIP) model is employed to control vertical hopping of a 2-segmented legged ro...
Humans Robotics Biomimetics Locomotion Computer Simulation Biomechanical Phenomena
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A neurodynamic approach to nonlinear optimization problems with affine equality and convex inequality constraints.

Neural networks : the official journal of the International Neural Network Society Oct 28, 2018
This paper presents a neurodynamic approach to nonlinear optimization problems with affine equality and convex inequality constraints. The proposed neural network endows with a time-varying auxiliary function, which can guarantee that the state of th...
Nonlinear Dynamics Computer Simulation Socioeconomic Factors Neural Networks, Computer Algorithms
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Automated Algorithm Selection on Continuous Black-Box Problems by Combining Exploratory Landscape Analysis and Machine Learning.

Evolutionary computation Oct 26, 2018
In this article, we build upon previous work on designing informative and efficient Exploratory Landscape Analysis features for characterizing problems' landscapes and show their effectiveness in automatically constructing algorithm selection models ...
Computer Simulation Information Storage and Retrieval Benchmarking Pattern Recognition, Automated Humans Algorithms Machine Learning Decision Support Techniques
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Evaluation of an Artificial Neural Network Retention Index Model for Chemical Structure Identification in Nontargeted Metabolomics.

Analytical chemistry Oct 24, 2018
Liquid chromatography coupled with electrospray ionization tandem mass spectrometry (LC-ESI-MS/MS) is a major analytical technique used for nontargeted identification of metabolites in biological fluids. Typically, in LC-ESI-MS/MS based database assi...
Computer Simulation Metabolomics Neural Networks, Computer Algorithms Models, Chemical Chromatography, Liquid Molecular Structure Spectrometry, Mass, Electrospray Ionization Databases, Chemical
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