AIMC Topic: Computer Simulation
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Modal kinematics for multisection continuum arms.
Bioinspiration & biomimetics
May 13, 2015
This paper presents a novel spatial kinematic model for multisection continuum arms based on mode shape functions (MSF). Modal methods have been used in many disciplines from finite element methods to structural analysis to approximate complex and no...
An in silico expert system for the identification of eye irritants.
SAR and QSAR in environmental research
May 13, 2015
This report describes development of an in silico, expert rule-based method for the classification of chemicals into irritants or non-irritants to eye, as defined by the Draize test. This method was developed to screen data-poor cosmetic ingredient c...
Synchronization of Neural Networks With Control Packet Loss and Time-Varying Delay via Stochastic Sampled-Data Controller.
IEEE transactions on neural networks and learning systems
May 8, 2015
This paper addresses the problem of exponential synchronization of neural networks with time-varying delays. A sampled-data controller with stochastically varying sampling intervals is considered. The novelty of this paper lies in the fact that the c...
Comparison of model-based and expert-rule based electrocardiographic identification of the culprit artery in patients with acute coronary syndrome.
Journal of electrocardiology
May 8, 2015
BACKGROUND AND PURPOSE: Culprit coronary artery assessment in the triage ECG of patients with suspected acute coronary syndrome (ACS) is relevant a priori knowledge preceding percutaneous coronary intervention (PCI). We compared a model-based automat...
A Projection Neural Network for Constrained Quadratic Minimax Optimization.
IEEE transactions on neural networks and learning systems
May 7, 2015
This paper presents a projection neural network described by a dynamic system for solving constrained quadratic minimax programming problems. Sufficient conditions based on a linear matrix inequality are provided for global convergence of the propose...
Machine learning applications in genetics and genomics.
Nature reviews. Genetics
May 7, 2015
The field of machine learning, which aims to develop computer algorithms that improve with experience, holds promise to enable computers to assist humans in the analysis of large, complex data sets. Here, we provide an overview of machine learning ap...
Driver's behavioural changes with new intelligent transport system interventions at railway level crossings--A driving simulator study.
Accident; analysis and prevention
May 6, 2015
Improving safety at railway level crossings is an important issue for the Australian transport system. Governments, the rail industry and road organisations have tried a variety of countermeasures for many years to improve railway level crossing safe...
Multistability in a class of stochastic delayed Hopfield neural networks.
Neural networks : the official journal of the International Neural Network Society
May 5, 2015
In this paper, multistability analysis for a class of stochastic delayed Hopfield neural networks is investigated. By considering the geometrical configuration of activation functions, the state space is divided into 2(n) + 1 regions in which 2(n) re...
Tandem Stance Avoidance Using Adaptive and Asymmetric Admittance Control for Fall Prevention.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
May 4, 2015
Fall prevention is one of the most important functions of walking assistance devices for user's safety. It is preferable that these devices prevent the user from being in the state where the risk of falling is high rather than helping them recovering...
Computer Simulation
Female
Aged
Aged, 80 and over
Humans
Gait Disorders, Neurologic
Physical Stimulation
Canes
Monitoring, Ambulatory
Equipment Design
Stress, Mechanical
Self-Help Devices
Walking
Male
Exoskeleton Device
Equipment Failure Analysis
Touch
Gait
Accidental Falls
Man-Machine Systems
Models, Biological
Robotics
Synchronization of chaotic systems and identification of nonlinear systems by using recurrent hierarchical type-2 fuzzy neural networks.
ISA transactions
Apr 29, 2015
This paper proposes a novel approach for training of proposed recurrent hierarchical interval type-2 fuzzy neural networks (RHT2FNN) based on the square-root cubature Kalman filters (SCKF). The SCKF algorithm is used to adjust the premise part of the...
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