AIMC Journal:
IEEE transactions on neural networks and learning systems

Showing 401 to 410 of 780 articles

Adversarial Attack on Skeleton-Based Human Action Recognition.

IEEE transactions on neural networks and learning systems Apr 4, 2022
Deep learning models achieve impressive performance for skeleton-based human action recognition. Graph convolutional networks (GCNs) are particularly suitable for this task due to the graph-structured nature of skeleton data. However, the robustness ...
Humans Neural Networks, Computer Pattern Recognition, Automated Recognition, Psychology Skeleton
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Semicentralized Deep Deterministic Policy Gradient in Cooperative StarCraft Games.

IEEE transactions on neural networks and learning systems Apr 4, 2022
In this article, we propose a novel semicentralized deep deterministic policy gradient (SCDDPG) algorithm for cooperative multiagent games. Specifically, we design a two-level actor-critic structure to help the agents with interactions and cooperatio...
Neural Networks, Computer Algorithms Learning Policy Reward
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Representative Task Self-Selection for Flexible Clustered Lifelong Learning.

IEEE transactions on neural networks and learning systems Apr 4, 2022
Consider the lifelong machine learning paradigm whose objective is to learn a sequence of tasks depending on previous experiences, e.g., knowledge library or deep network weights. However, the knowledge libraries or deep networks for most recent life...
Neural Networks, Computer Education, Continuing
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BayesFlow: Learning Complex Stochastic Models With Invertible Neural Networks.

IEEE transactions on neural networks and learning systems Apr 4, 2022
Estimating the parameters of mathematical models is a common problem in almost all branches of science. However, this problem can prove notably difficult when processes and model descriptions become increasingly complex and an explicit likelihood fun...
Neural Networks, Computer Learning Bayes Theorem
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Dynamically Generated Hierarchical Neural Networks Designed With the Aid of Multiple Support Vector Regressors and PNN Architecture With Probabilistic Selection.

IEEE transactions on neural networks and learning systems Apr 4, 2022
The two issues on dynamically generated hierarchical neural networks such as the sort of basic neurons and how to compose a layer are considered in this article. On the first issue, a variant version of the least-square support vector regression (SVR...
Neural Networks, Computer Algorithms Support Vector Machine Cluster Analysis Least-Squares Analysis
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Synaptic Learning With Augmented Spikes.

IEEE transactions on neural networks and learning systems Feb 28, 2022
Traditional neuron models use analog values for information representation and computation, while all-or-nothing spikes are employed in the spiking ones. With a more brain-like processing paradigm, spiking neurons are more promising for improvements ...
Neural Networks, Computer Learning Action Potentials Neurons Recognition, Psychology
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Recurrent Neural Dynamics Models for Perturbed Nonstationary Quadratic Programs: A Control-Theoretical Perspective.

IEEE transactions on neural networks and learning systems Feb 28, 2022
Recent decades have witnessed a trend that control-theoretical techniques are widely leveraged in various areas, e.g., design and analysis of computational models. Computational methods can be modeled as a controller and searching the equilibrium poi...
Neural Networks, Computer
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Dynamic Embedding Projection-Gated Convolutional Neural Networks for Text Classification.

IEEE transactions on neural networks and learning systems Feb 28, 2022
Text classification is a fundamental and important area of natural language processing for assigning a text into at least one predefined tag or category according to its content. Most of the advanced systems are either too simple to get high accuracy...
Neural Networks, Computer Natural Language Processing
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Composite-Learning-Based Adaptive Neural Control for Dual-Arm Robots With Relative Motion.

IEEE transactions on neural networks and learning systems Feb 28, 2022
This article presents an adaptive control method for dual-arm robot systems to perform bimanual tasks under modeling uncertainties. Different from the traditional symmetric bimanual robot control, we study the dual-arm robot control with relative mot...
Neural Networks, Computer Algorithms Computer Simulation Feedback Robotics
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Improved Stability Criteria for Delayed Neural Networks Using a Quadratic Function Negative-Definiteness Approach.

IEEE transactions on neural networks and learning systems Feb 28, 2022
This brief is concerned with the stability of a neural network with a time-varying delay using the quadratic function negative-definiteness approach reported recently. A more general reciprocally convex combination inequality is taken to introduce so...
Neural Networks, Computer Time Factors
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