AIMC Journal:
IEEE transactions on neural networks and learning systems

Showing 601 to 610 of 817 articles

Asynchronous Multiplex Communication Channels in 2-D Neural Network With Fluctuating Characteristics.

IEEE transactions on neural networks and learning systems Dec 14, 2018
Neurons behave like transistors, but have fluctuating characteristics. In this paper, we show that several asynchronous multiplex communication channels can be established in a 2-D mesh neural network with randomly generated weights between eight nei...
Humans Computer Simulation Communication Neural Networks, Computer Brain Action Potentials Models, Neurological Neurons
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Reconstructing Perceived Images From Human Brain Activities With Bayesian Deep Multiview Learning.

IEEE transactions on neural networks and learning systems Dec 12, 2018
Neural decoding, which aims to predict external visual stimuli information from evoked brain activities, plays an important role in understanding human visual system. Many existing methods are based on linear models, and most of them only focus on ei...
Bayes Theorem Image Processing, Computer-Assisted Humans Brain Pattern Recognition, Automated Neural Networks, Computer Deep Learning
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Visualization Methods for Image Transformation Convolutional Neural Networks.

IEEE transactions on neural networks and learning systems Dec 11, 2018
Convolutional neural networks (CNNs) are powerful machine learning models that have become the state of the art in several problems in the areas of computer vision and image processing. Nevertheless, the knowledge of why and how these models present ...
Image Processing, Computer-Assisted Pattern Recognition, Automated Humans Neural Networks, Computer
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Adaptive Neural Control of Underactuated Surface Vessels With Prescribed Performance Guarantees.

IEEE transactions on neural networks and learning systems Nov 12, 2018
This paper presents adaptive neural tracking control of underactuated surface vessels with modeling uncertainties and time-varying external disturbances, where the tracking errors consisting of position and orientation errors are required to keep ins...
Neural Networks, Computer Ships Humans
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Multistability of Switched Neural Networks With Piecewise Linear Activation Functions Under State-Dependent Switching.

IEEE transactions on neural networks and learning systems Nov 12, 2018
This paper is concerned with the multistability of switched neural networks with piecewise linear activation functions under state-dependent switching. Under some reasonable assumptions on the switching threshold and activation functions, by using th...
Neural Networks, Computer Algorithms Linear Models Computer Simulation
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L1 -Norm Batch Normalization for Efficient Training of Deep Neural Networks.

IEEE transactions on neural networks and learning systems Nov 9, 2018
Batch normalization (BN) has recently become a standard component for accelerating and improving the training of deep neural networks (DNNs). However, BN brings in additional calculations, consumes more memory, and significantly slows down the traini...
Pattern Recognition, Automated Deep Learning Humans Neural Networks, Computer
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Shared Nearest-Neighbor Quantum Game-Based Attribute Reduction With Hierarchical Coevolutionary Spark and Its Application in Consistent Segmentation of Neonatal Cerebral Cortical Surfaces.

IEEE transactions on neural networks and learning systems Nov 6, 2018
The unprecedented increase in data volume has become a severe challenge for conventional patterns of data mining and learning systems tasked with handling big data. The recently introduced Spark platform is a new processing method for big data analys...
Game Theory Cerebral Cortex Neural Networks, Computer Algorithms Infant, Newborn Cluster Analysis Humans
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Adaptive Neural Control of a Kinematically Redundant Exoskeleton Robot Using Brain-Machine Interfaces.

IEEE transactions on neural networks and learning systems Oct 19, 2018
In this paper, a closed-loop control has been developed for the exoskeleton robot system based on brain-machine interface (BMI). Adaptive controllers in joint space, a redundancy resolution method at the velocity level, and commands that generated fr...
Electroencephalography Neural Networks, Computer Exoskeleton Device Humans Brain-Computer Interfaces Biomechanical Phenomena Adaptation, Physiological
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A Robust AUC Maximization Framework With Simultaneous Outlier Detection and Feature Selection for Positive-Unlabeled Classification.

IEEE transactions on neural networks and learning systems Oct 9, 2018
The positive-unlabeled (PU) classification is a common scenario in real-world applications such as healthcare, text classification, and bioinformatics, in which we only observe a few samples labeled as "positive" together with a large volume of "unla...
Neural Networks, Computer Seizures Humans Area Under Curve Surgical Wound Infection Sample Size Electroencephalography
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STRAINet: Spatially Varying sTochastic Residual AdversarIal Networks for MRI Pelvic Organ Segmentation.

IEEE transactions on neural networks and learning systems Oct 9, 2018
Accurate segmentation of pelvic organs is important for prostate radiation therapy. Modern radiation therapy starts to use a magnetic resonance image (MRI) as an alternative to computed tomography image because of its superior soft tissue contrast an...
Magnetic Resonance Imaging Stochastic Processes Neural Networks, Computer Image Processing, Computer-Assisted Humans
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