AIMC Journal:
IEEE transactions on neural networks and learning systems

Showing 311 to 320 of 780 articles

CerebelluMorphic: Large-Scale Neuromorphic Model and Architecture for Supervised Motor Learning.

IEEE transactions on neural networks and learning systems Aug 31, 2022
The cerebellum plays a vital role in motor learning and control with supervised learning capability, while neuromorphic engineering devises diverse approaches to high-performance computation inspired by biological neural systems. This article present...
Neural Networks, Computer Brain Models, Neurological Neurons Cerebellum
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Local Critic Training for Model-Parallel Learning of Deep Neural Networks.

IEEE transactions on neural networks and learning systems Aug 31, 2022
In this article, we propose a novel model-parallel learning method, called local critic training, which trains neural networks using additional modules called local critic networks. The main network is divided into several layer groups, and each laye...
Neural Networks, Computer Machine Learning Learning
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Perturbation of Spike Timing Benefits Neural Network Performance on Similarity Search.

IEEE transactions on neural networks and learning systems Aug 31, 2022
Perturbation has a positive effect, as it contributes to the stability of neural systems through adaptation and robustness. For example, deep reinforcement learning generally engages in exploratory behavior by injecting noise into the action space an...
Neural Networks, Computer Algorithms Models, Neurological Neurons
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Attention-Emotion-Enhanced Convolutional LSTM for Sentiment Analysis.

IEEE transactions on neural networks and learning systems Aug 31, 2022
Long short-term memory (LSTM) neural networks and attention mechanism have been widely used in sentiment representation learning and detection of texts. However, most of the existing deep learning models for text sentiment analysis ignore emotion's m...
Neural Networks, Computer Emotions Semantics Sentiment Analysis
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Overcoming Long-Term Catastrophic Forgetting Through Adversarial Neural Pruning and Synaptic Consolidation.

IEEE transactions on neural networks and learning systems Aug 31, 2022
Enabling a neural network to sequentially learn multiple tasks is of great significance for expanding the applicability of neural networks in real-world applications. However, artificial neural networks face the well-known problem of catastrophic for...
Neural Networks, Computer Machine Learning Brain Learning Animals Neuronal Plasticity Mammals
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Multi-Task Weakly-Supervised Attention Network for Dementia Status Estimation With Structural MRI.

IEEE transactions on neural networks and learning systems Aug 3, 2022
Accurate prediction of clinical scores (of neuropsychological tests) based on noninvasive structural magnetic resonance imaging (MRI) helps understand the pathological stage of dementia (e.g., Alzheimer's disease (AD)) and forecast its progression. E...
Humans Neural Networks, Computer Machine Learning Brain Magnetic Resonance Imaging Alzheimer Disease
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Convolutional Ordinal Regression Forest for Image Ordinal Estimation.

IEEE transactions on neural networks and learning systems Aug 3, 2022
Image ordinal estimation is to predict the ordinal label of a given image, which can be categorized as an ordinal regression (OR) problem. Recent methods formulate an OR problem as a series of binary classification problems. Such methods cannot ensur...
Neural Networks, Computer Image Processing, Computer-Assisted Regression Analysis
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Beneficial Perturbation Network for Designing General Adaptive Artificial Intelligence Systems.

IEEE transactions on neural networks and learning systems Aug 3, 2022
The human brain is the gold standard of adaptive learning. It not only can learn and benefit from experience, but also can adapt to new situations. In contrast, deep neural networks only learn one sophisticated but fixed mapping from inputs to output...
Humans Neural Networks, Computer Artificial Intelligence Brain Learning
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Massive-Scale Aerial Photo Categorization by Cross-Resolution Visual Perception Enhancement.

IEEE transactions on neural networks and learning systems Aug 3, 2022
Categorizing aerial photographs with varied weather/lighting conditions and sophisticated geomorphic factors is a key module in autonomous navigation, environmental evaluation, and so on. Previous image recognizers cannot fulfill this task due to thr...
Humans Neural Networks, Computer Algorithms Vision, Ocular Visual Perception
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Toward Full-Stack Acceleration of Deep Convolutional Neural Networks on FPGAs.

IEEE transactions on neural networks and learning systems Aug 3, 2022
Due to the huge success and rapid development of convolutional neural networks (CNNs), there is a growing demand for hardware accelerators that accommodate a variety of CNNs to improve their inference latency and energy efficiency, in order to enable...
Neural Networks, Computer Algorithms Computers Signal Processing, Computer-Assisted Acceleration
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