AIMC Topic:
Models, Theoretical

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Prediction of success for polymerase chain reactions using the Markov maximal order model and support vector machine.

Journal of theoretical biology Jan 28, 2015
Polymerase chain reaction (PCR) is hailed as one of the monumental scientific techniques of the twentieth century, and has become a common and often indispensable technique in many areas. However, researchers still frequently find some DNA templates ...
Markov Chains Polymerase Chain Reaction Models, Theoretical Humans Support Vector Machine
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A New Multivariate Approach for Prognostics Based on Extreme Learning Machine and Fuzzy Clustering.

IEEE transactions on cybernetics Jan 26, 2015
Prognostics is a core process of prognostics and health management (PHM) discipline, that estimates the remaining useful life (RUL) of a degrading machinery to optimize its service delivery potential. However, machinery operates in a dynamic environm...
Cluster Analysis Multivariate Analysis Models, Theoretical Fuzzy Logic Engineering Machine Learning Algorithms
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A novel tracking algorithm via feature points matching.

PloS one Jan 24, 2015
Visual target tracking is a primary task in many computer vision applications and has been widely studied in recent years. Among all the tracking methods, the mean shift algorithm has attracted extraordinary interest and been well developed in the pa...
Pattern Recognition, Automated Models, Theoretical Color Artificial Intelligence Algorithms
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Ultrasound assisted biodiesel production from sesame (Sesamum indicum L.) oil using barium hydroxide as a heterogeneous catalyst: Comparative assessment of prediction abilities between response surface methodology (RSM) and artificial neural network (ANN).

Ultrasonics sonochemistry Jan 20, 2015
The present study estimates the prediction capability of response surface methodology (RSM) and artificial neural network (ANN) models for biodiesel synthesis from sesame (Sesamum indicum L.) oil under ultrasonication (20 kHz and 1.2 kW) using barium...
Neural Networks, Computer Biofuels Catalysis Models, Theoretical Sesamum Ultrasonic Waves Plant Oils Biotechnology Barium Compounds
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Resilient Asynchronous H∞ Filtering for Markov Jump Neural Networks With Unideal Measurements and Multiplicative Noises.

IEEE transactions on cybernetics Jan 19, 2015
This paper is concerned with the resilient H∞ filtering problem for a class of discrete-time Markov jump neural networks (NNs) with time-varying delays, unideal measurements, and multiplicative noises. The transitions of NNs modes and desired mode-de...
Cybernetics Markov Chains Stochastic Processes Computer Simulation Neural Networks, Computer Models, Theoretical
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C1-almost periodic solutions of BAM neural networks with time-varying delays on time scales.

TheScientificWorldJournal Jan 19, 2015
On a new type of almost periodic time scales, a class of BAM neural networks is considered. By employing a fixed point theorem and differential inequality techniques, some sufficient conditions ensuring the existence and global exponential stability ...
Nonlinear Dynamics Periodicity Time Factors Neural Networks, Computer Models, Theoretical Artificial Intelligence
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Prediction of Henry's Law Constants via group-specific quantitative structure property relationships.

Chemosphere Jan 17, 2015
Henry's Law Constants (HLCs) for several hundred organic compounds in water at 25 °C were predicted by Quantitative Structure Property Relationship (QSPR) models, with the division of organic compounds into specific classes to yield more accurate mod...
Gases Organic Chemicals Neural Networks, Computer Linear Models Models, Theoretical Water Quantitative Structure-Activity Relationship
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Stability criteria for recurrent neural networks with time-varying delay based on secondary delay partitioning method.

IEEE transactions on neural networks and learning systems Jan 15, 2015
A secondary delay partitioning method is proposed to study the stability problem for a class of recurrent neural networks (RNNs) with time-varying delay. The total interval of the time-varying delay is first divided into two parts, and then each part...
Humans Computer Simulation Time Factors Neural Networks, Computer Algorithms Models, Theoretical Nonlinear Dynamics
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Enhanced low-rank representation via sparse manifold adaption for semi-supervised learning.

Neural networks : the official journal of the International Neural Network Society Jan 10, 2015
Constructing an informative and discriminative graph plays an important role in various pattern recognition tasks such as clustering and classification. Among the existing graph-based learning models, low-rank representation (LRR) is a very competiti...
Models, Theoretical Cluster Analysis Classification Artificial Intelligence Algorithms
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Large Tanker Motion Model Identification Using Generalized Ellipsoidal Basis Function-Based Fuzzy Neural Networks.

IEEE transactions on cybernetics Jan 1, 2015
In this paper, the motion dynamics of a large tanker is modeled by the generalized ellipsoidal function-based fuzzy neural network (GEBF-FNN). The reference model of tanker motion dynamics in the form of nonlinear difference equations is established ...
Algorithms Computer Simulation Neural Networks, Computer Models, Theoretical Motion Fuzzy Logic Ships
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