AIMC Topic: Computer Simulation

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Robust Integral of Neural Network and Error Sign Control of MIMO Nonlinear Systems.

IEEE transactions on neural networks and learning systems Sep 1, 2015
This paper presents a novel state-feedback control scheme for the tracking control of a class of multi-input multioutput continuous-time nonlinear systems with unknown dynamics and bounded disturbances. First, the control law consisting of the robust...
Computer Simulation Feedback Nonlinear Dynamics Neural Networks, Computer Algorithms Humans
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Prediction of facial deformation after complete denture prosthesis using BP neural network.

Computers in biology and medicine Sep 1, 2015
With the accelerated aging of world population, complete denture prosthesis plays an increasingly important role in mouth rehabilitation. In addition to recovering stomatognathic system function, restoring the appearance of a third of the area under ...
Neural Networks, Computer Elasticity Computer Simulation Denture, Complete Imaging, Three-Dimensional Mouth, Edentulous Models, Theoretical Tomography, X-Ray Computed Regression Analysis Medical Informatics Humans
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Improved Quantum Artificial Fish Algorithm Application to Distributed Network Considering Distributed Generation.

Computational intelligence and neuroscience Sep 1, 2015
An improved quantum artificial fish swarm algorithm (IQAFSA) for solving distributed network programming considering distributed generation is proposed in this work. The IQAFSA based on quantum computing which has exponential acceleration for heurist...
Models, Biological Algorithms Nonlinear Dynamics Swimming Fishes Neural Networks, Computer Computer Simulation Artificial Intelligence Animals
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A Robot-Driven Computational Model for Estimating Passive Ankle Torque With Subject-Specific Adaptation.

IEEE transactions on bio-medical engineering Aug 31, 2015
BACKGROUND: Robot-assisted ankle assessment could potentially be conducted using sensor-based and model-based methods. Existing ankle rehabilitation robots usually use torquemeters and multiaxis load cells for measuring joint dynamics. These measurem...
Therapy, Computer-Assisted Ankle Range of Motion, Articular Biomechanical Phenomena Ankle Joint Male Adult Models, Biological Torque Robotics Computer Simulation Female Humans Young Adult
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A Multiobjective Sparse Feature Learning Model for Deep Neural Networks.

IEEE transactions on neural networks and learning systems Aug 31, 2015
Hierarchical deep neural networks are currently popular learning models for imitating the hierarchical architecture of human brain. Single-layer feature extractors are the bricks to build deep networks. Sparse feature learning models are popular mode...
Models, Theoretical Computer Simulation Learning Neural Networks, Computer Humans Artificial Intelligence Algorithms
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Neural-Dynamic-Method-Based Dual-Arm CMG Scheme With Time-Varying Constraints Applied to Humanoid Robots.

IEEE transactions on neural networks and learning systems Aug 31, 2015
We propose a dual-arm cyclic-motion-generation (DACMG) scheme by a neural-dynamic method, which can remedy the joint-angle-drift phenomenon of a humanoid robot. In particular, according to a neural-dynamic design method, first, a cyclic-motion perfor...
Computer Simulation Time Factors Motion Arm Robotics Humans Nonlinear Dynamics Neural Networks, Computer
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Fuzzy Inference System Approach for Locating Series, Shunt, and Simultaneous Series-Shunt Faults in Double Circuit Transmission Lines.

Computational intelligence and neuroscience Aug 30, 2015
Many schemes are reported for shunt fault location estimation, but fault location estimation of series or open conductor faults has not been dealt with so far. The existing numerical relays only detect the open conductor (series) fault and give the i...
Computer Simulation Fuzzy Logic Chi-Square Distribution Neural Networks, Computer Algorithms Humans Equipment Failure Analysis
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Asymptotic Stability of a Class of Neutral Delay Neuron System in a Critical Case.

IEEE transactions on neural networks and learning systems Aug 28, 2015
In this brief, the asymptotic stability properties of a neutral delay neuron system are studied mainly in a critical case when the exponential stability is not possible. If a critical value of the coefficient in the neutral delay neuron system is con...
Neurons Nonlinear Dynamics Neural Networks, Computer Algorithms Time Factors Models, Neurological Computer Simulation Humans
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Unified-theory-of-reinforcement neural networks do not simulate the blocking effect.

Behavioural processes Aug 28, 2015
For the last 20 years the unified theory of reinforcement (Donahoe et al., 1993) has been used to develop computer simulations to evaluate its plausibility as an account for behavior. The unified theory of reinforcement states that operant and respon...
Neural Networks, Computer Computer Simulation Data Interpretation, Statistical Conditioning, Operant Reinforcement Schedule Reinforcement, Psychology Conditioning, Classical
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Accuracy and Efficiency in Fixed-Point Neural ODE Solvers.

Neural computation Aug 27, 2015
Simulation of neural behavior on digital architectures often requires the solution of ordinary differential equations (ODEs) at each step of the simulation. For some neural models, this is a significant computational burden, so efficiency is importan...
Humans Synapses Neural Networks, Computer Membrane Potentials Computer Simulation
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