AIMC Topic:
Models, Theoretical

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Application of a hybrid method combining grey model and back propagation artificial neural networks to forecast hepatitis B in china.

Computational and mathematical methods in medicine Feb 26, 2015
Accurate incidence forecasting of infectious disease provides potentially valuable insights in its own right. It is critical for early prevention and may contribute to health services management and syndrome surveillance. This study investigates the ...
Infectious Disease Medicine China Software Medical Informatics Humans Hepatitis B Communicable Disease Control Algorithms Neural Networks, Computer Models, Theoretical Predictive Value of Tests
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The intelligence of dual simplex method to solve linear fractional fuzzy transportation problem.

Computational intelligence and neuroscience Feb 24, 2015
An approach is presented to solve a fuzzy transportation problem with linear fractional fuzzy objective function. In this proposed approach the fractional fuzzy transportation problem is decomposed into two linear fuzzy transportation problems. The o...
Transportation Humans Fuzzy Logic Algorithms Intelligence Models, Theoretical Electronic Data Processing
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Determination of Meta-Parameters for Support Vector Machine Linear Combinations.

Molecular informatics Feb 17, 2015
Support vector machines (SVMs) are among the most popular machine learning methods for compound classification and other chemoinformatics tasks such as, for example, the prediction of ligand-target pairs or compound activity profiles. Depending on th...
Models, Theoretical Support Vector Machine Databases, Chemical
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Dynamic assessment of water quality based on a variable fuzzy pattern recognition model.

International journal of environmental research and public health Feb 16, 2015
Water quality assessment is an important foundation of water resource protection and is affected by many indicators. The dynamic and fuzzy changes of water quality lead to problems for proper assessment. This paper explores a method which is in accor...
Fuzzy Logic Water Quality Environmental Monitoring Water Pollutants, Chemical Pattern Recognition, Automated China Water Models, Theoretical
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Improving AutoDock Vina Using Random Forest: The Growing Accuracy of Binding Affinity Prediction by the Effective Exploitation of Larger Data Sets.

Molecular informatics Feb 12, 2015
There is a growing body of evidence showing that machine learning regression results in more accurate structure-based prediction of protein-ligand binding affinity. Docking methods that aim at optimizing the affinity of ligands for a target rely on h...
Software Molecular Docking Simulation Models, Theoretical Machine Learning
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Adaptive Neural Control of a Class of Output-Constrained Nonaffine Systems.

IEEE transactions on cybernetics Feb 4, 2015
In this paper, we present a novel tracking controller for a class of uncertain nonaffine systems with time-varying asymmetric output constraints. Firstly, the original nonaffine constrained (in the sense of the output signal) control system is transf...
Wind Models, Theoretical Signal Processing, Computer-Assisted Neural Networks, Computer Torque Nonlinear Dynamics
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Modeling land use and land cover changes in a vulnerable coastal region using artificial neural networks and cellular automata.

Environmental monitoring and assessment Feb 3, 2015
As one of the most vulnerable coasts in the continental USA, the Lower Mississippi River Basin (LMRB) region has endured numerous hazards over the past decades. The sustainability of this region has drawn great attention from the international, natio...
Wetlands Mississippi Models, Theoretical Environmental Monitoring Neural Networks, Computer Rivers Conservation of Natural Resources Agriculture
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A novel multiple instance learning method based on extreme learning machine.

Computational intelligence and neuroscience Feb 3, 2015
Since real-world data sets usually contain large instances, it is meaningful to develop efficient and effective multiple instance learning (MIL) algorithm. As a learning paradigm, MIL is different from traditional supervised learning that handles the...
Image Interpretation, Computer-Assisted Algorithms Pattern Recognition, Automated Models, Theoretical Neural Networks, Computer Artificial Intelligence
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Application of stochastic automata networks for creation of continuous time Markov chain models of voltage gating of gap junction channels.

BioMed research international Feb 1, 2015
The primary goal of this work was to study advantages of numerical methods used for the creation of continuous time Markov chain models (CTMC) of voltage gating of gap junction (GJ) channels composed of connexin protein. This task was accomplished by...
Markov Chains Ion Channels Connexins Gap Junctions Neural Networks, Computer Models, Theoretical Humans
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Spatiotemporal System Identification With Continuous Spatial Maps and Sparse Estimation.

IEEE transactions on neural networks and learning systems Jan 30, 2015
We present a framework for the identification of spatiotemporal linear dynamical systems. We use a state-space model representation that has the following attributes: 1) the number of spatial observation locations are decoupled from the model order; ...
Pattern Recognition, Automated Models, Theoretical Nonlinear Dynamics Computer Simulation Time Factors Neural Networks, Computer Humans Algorithms
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