AIMC Journal:
IEEE transactions on neural networks and learning systems

Showing 581 to 590 of 817 articles

Automatic Sleep Staging Employing Convolutional Neural Networks and Cortical Connectivity Images.

IEEE transactions on neural networks and learning systems Mar 15, 2019
Understanding of the neuroscientific sleep mechanisms is associated with mental/cognitive and physical well-being and pathological conditions. A prerequisite for further analysis is the identification of the sleep macroarchitecture through manual sle...
Adult Male Reproducibility of Results Young Adult Electroencephalography Signal Processing, Computer-Assisted Middle Aged Deep Learning Humans Neural Networks, Computer Algorithms Electroencephalography Phase Synchronization Wavelet Analysis Sleep Stages Automation Cerebral Cortex
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Effects of Subsystem and Coupling on Synchronization of Multiple Neural Networks With Delays via Impulsive Coupling.

IEEE transactions on neural networks and learning systems Mar 14, 2019
This paper from new perspectives discusses the global synchronization of multiple recurrent neural networks (MNNs) with time delays via impulsive coupling. A new concept (coupling strength) is introduced, it is a variable parameter and plays a key ro...
Neural Networks, Computer Algorithms Computer Simulation
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Feature Aggregation With Reinforcement Learning for Video-Based Person Re-Identification.

IEEE transactions on neural networks and learning systems Mar 12, 2019
Video-based person re-identification (re-id) matches two tracks of persons from different cameras. Features are extracted from the images of a sequence and then aggregated as a track feature. Compared to existing works that aggregate frame features b...
Image Processing, Computer-Assisted Video Recording Humans Neural Networks, Computer Pattern Recognition, Automated Reinforcement, Psychology
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O(2) -Valued Hopfield Neural Networks.

IEEE transactions on neural networks and learning systems Mar 6, 2019
In complex-valued Hopfield neural networks (CHNNs), the neuron states are complex numbers whose amplitudes are: 1) they can also be described in special orthogonal matrices of order and 2) here, we propose a new Hopfield model, the O(2) -valued Hopfi...
Neural Networks, Computer Computer Simulation
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Supervised Discriminative Sparse PCA for Com-Characteristic Gene Selection and Tumor Classification on Multiview Biological Data.

IEEE transactions on neural networks and learning systems Feb 22, 2019
Principal component analysis (PCA) has been used to study the pathogenesis of diseases. To enhance the interpretability of classical PCA, various improved PCA methods have been proposed to date. Among these, a typical method is the so-called sparse P...
Data Interpretation, Statistical Supervised Machine Learning Humans Neoplasms Principal Component Analysis
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Evaluate the Malignancy of Pulmonary Nodules Using the 3-D Deep Leaky Noisy-OR Network.

IEEE transactions on neural networks and learning systems Feb 14, 2019
Automatic diagnosing lung cancer from computed tomography scans involves two steps: detect all suspicious lesions (pulmonary nodules) and evaluate the whole-lung/pulmonary malignancy. Currently, there are many studies about the first step, but few ab...
Imaging, Three-Dimensional Lung Neoplasms Humans Tomography, X-Ray Computed Neural Networks, Computer Diagnosis, Computer-Assisted
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Memristive Imitation of Synaptic Transmission and Plasticity.

IEEE transactions on neural networks and learning systems Feb 11, 2019
In this paper, a memristive artificial neural circuit imitating the excitatory chemical synaptic transmission of biological synapse is designed. The proposed memristor-based neural circuit exhibits synaptic plasticity, one of the important neurochemi...
Synaptic Transmission Imitative Behavior Neural Networks, Computer Neuronal Plasticity Humans
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Adaptive Discrete-Time Flight Control Using Disturbance Observer and Neural Networks.

IEEE transactions on neural networks and learning systems Feb 8, 2019
This paper studies the adaptive neural control (ANC)-based tracking problem for discrete-time nonlinear dynamics of an unmanned aerial vehicle subject to system uncertainties, bounded time-varying disturbances, and input saturation by using a discret...
Computer Simulation Time Factors Neural Networks, Computer Algorithms
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A Greedy Assist-as-Needed Controller for Upper Limb Rehabilitation.

IEEE transactions on neural networks and learning systems Feb 5, 2019
Previous studies on robotic rehabilitation have shown that subjects' active participation and effort involved in rehabilitation training can promote the performance of therapies. In order to improve the voluntary effort of participants during the reh...
Humans Photic Stimulation Neural Networks, Computer Upper Extremity Robotics Virtual Reality Exposure Therapy Psychomotor Performance Normal Distribution
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3-D PersonVLAD: Learning Deep Global Representations for Video-Based Person Reidentification.

IEEE transactions on neural networks and learning systems Feb 1, 2019
We present the global deep video representation learning to video-based person reidentification (re-ID) that aggregates local 3-D features across the entire video extent. Existing methods typically extract frame-wise deep features from 2-D convolutio...
Photic Stimulation Video Recording Humans Deep Learning Pattern Recognition, Automated Neural Networks, Computer
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