AIMC Journal:
IEEE transactions on neural networks and learning systems

Showing 201 to 210 of 780 articles

Variable Binding for Sparse Distributed Representations: Theory and Applications.

IEEE transactions on neural networks and learning systems May 2, 2023
Variable binding is a cornerstone of symbolic reasoning and cognition. But how binding can be implemented in connectionist models has puzzled neuroscientists, cognitive psychologists, and neural network researchers for many decades. One type of conne...
Neural Networks, Computer Neurons Problem Solving Cognition Brain
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Fully Complex-Valued Dendritic Neuron Model.

IEEE transactions on neural networks and learning systems Apr 4, 2023
A single dendritic neuron model (DNM) that owns the nonlinear information processing ability of dendrites has been widely used for classification and prediction. Complex-valued neural networks that consist of a number of multiple/deep-layer McCulloch...
Neural Networks, Computer Algorithms Neurons Signal Processing, Computer-Assisted
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A Survey on Brain Effective Connectivity Network Learning.

IEEE transactions on neural networks and learning systems Apr 4, 2023
Human brain effective connectivity characterizes the causal effects of neural activities among different brain regions. Studies of brain effective connectivity networks (ECNs) for different populations contribute significantly to the understanding of...
Connectome Magnetic Resonance Imaging Neural Networks, Computer Humans Brain Artificial Intelligence
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A Novel Convolutional Neural Network Model Based on Beetle Antennae Search Optimization Algorithm for Computerized Tomography Diagnosis.

IEEE transactions on neural networks and learning systems Feb 28, 2023
Convolutional neural networks (CNNs) are widely used in the field of medical imaging diagnosis but have the disadvantages of slow training speed and low diagnostic accuracy due to the initialization of parameters before training. In this article, a C...
Coleoptera Animals Neural Networks, Computer Image Processing, Computer-Assisted Humans Algorithms Tomography, X-Ray Computed
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DisP+V: A Unified Framework for Disentangling Prototype and Variation From Single Sample per Person.

IEEE transactions on neural networks and learning systems Feb 3, 2023
Single sample per person face recognition (SSPP FR) is one of the most challenging problems in FR due to the extreme lack of enrolment data. To date, the most popular SSPP FR methods are the generic learning methods, which recognize query face images...
Neural Networks, Computer Humans Face Algorithms Pattern Recognition, Automated
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SpaRCe: Improved Learning of Reservoir Computing Systems Through Sparse Representations.

IEEE transactions on neural networks and learning systems Feb 3, 2023
"Sparse" neural networks, in which relatively few neurons or connections are active, are common in both machine learning and neuroscience. While, in machine learning, "sparsity" is related to a penalty term that leads to some connecting weights becom...
Machine Learning Neural Networks, Computer Neurons Brain
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Mutual Information-Driven Subject-Invariant and Class-Relevant Deep Representation Learning in BCI.

IEEE transactions on neural networks and learning systems Feb 3, 2023
In recent years, deep learning-based feature representation methods have shown a promising impact on electroencephalography (EEG)-based brain-computer interface (BCI). Nonetheless, owing to high intra- and inter-subject variabilities, many studies on...
Brain-Computer Interfaces Algorithms Calibration Electroencephalography Neural Networks, Computer Machine Learning Humans
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Nearest Neighbor-Based Strategy to Optimize Multi-View Triplet Network for Classification of Small-Sample Medical Imaging Data.

IEEE transactions on neural networks and learning systems Feb 3, 2023
Multi-view classification with limited sample size and data augmentation is a very common machine learning (ML) problem in medicine. With limited data, a triplet network approach for two-stage representation learning has been proposed. However, effec...
Neural Networks, Computer Machine Learning Diagnostic Imaging
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TopicBERT: A Topic-Enhanced Neural Language Model Fine-Tuned for Sentiment Classification.

IEEE transactions on neural networks and learning systems Jan 5, 2023
Sentiment classification is a form of data analytics where people's feelings and attitudes toward a topic are mined from data. This tantalizing power to "predict the zeitgeist" means that sentiment classification has long attracted interest, but with...
Adenosine Triphosphate Sentiment Analysis Natural Language Processing Language Humans Neural Networks, Computer
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Deep Neural Network-Embedded Stochastic Nonlinear State-Space Models and Their Applications to Process Monitoring.

IEEE transactions on neural networks and learning systems Nov 30, 2022
Process complexities are characterized by strong nonlinearities, dynamics, and uncertainties. Monitoring such a complex process requires a high-quality model describing the corresponding nonlinear dynamic behavior. The proposed model is constructed u...
Nonlinear Dynamics Neural Networks, Computer Space Simulation
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