AIMC Journal:
IEEE transactions on neural networks and learning systems

Showing 791 to 800 of 817 articles

A Rotational Motion Perception Neural Network Based on Asymmetric Spatiotemporal Visual Information Processing.

IEEE transactions on neural networks and learning systems Nov 1, 2017
All complex motion patterns can be decomposed into several elements, including translation, expansion/contraction, and rotational motion. In biological vision systems, scientists have found that specific types of visual neurons have specific preferen...
Visual Perception Motion Perception Computer Simulation Animals Electronic Data Processing Photic Stimulation Humans Models, Neurological Neural Networks, Computer
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A New Local Bipolar Autoassociative Memory Based on External Inputs of Discrete Recurrent Neural Networks With Time Delay.

IEEE transactions on neural networks and learning systems Nov 1, 2017
In this paper, local bipolar auto-associative memories are presented based on discrete recurrent neural networks with a class of gain type activation function. The weight parameters of neural networks are acquired by a set of inequalities without the...
Humans Neural Networks, Computer Time Factors Memory Association Learning Algorithms Computer Simulation
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Storing Sequences in Binary Tournament-Based Neural Networks.

IEEE transactions on neural networks and learning systems May 1, 2016
An extension to a recently introduced architecture of clique-based neural networks is presented. This extension makes it possible to store sequences with high efficiency. To obtain this property, network connections are provided with orientation and ...
Neural Networks, Computer Computer Simulation Models, Neurological Neurons
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Special Issue on Neurodynamic Systems for Optimization and Applications.

IEEE transactions on neural networks and learning systems Feb 1, 2016
Pattern Recognition, Automated Humans Neural Networks, Computer
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IEEE Transactions on Neural Networks and Learning Systems 2016 and Beyond.

IEEE transactions on neural networks and learning systems Jan 1, 2016
Periodicals as Topic Information Storage and Retrieval Neural Networks, Computer Learning Humans
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Pinning Synchronization of Directed Networks With Switching Topologies: A Multiple Lyapunov Functions Approach.

IEEE transactions on neural networks and learning systems Dec 1, 2015
This paper studies the global pinning synchronization problem for a class of complex networks with switching directed topologies. The common assumption in the existing related literature that each possible network topology contains a directed spannin...
Computer Simulation Nonlinear Dynamics Systems Theory Neural Networks, Computer Algorithms Humans
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Variational inference with ARD prior for NIRS diffuse optical tomography.

IEEE transactions on neural networks and learning systems May 1, 2015
Diffuse optical tomography (DOT) reconstructs 3-D tomographic images of brain activities from observations by near-infrared spectroscopy (NIRS) that is formulated as an ill-posed inverse problem. This brief presents a method for NIRS DOT based on a h...
Humans Neural Networks, Computer Computer Simulation Spectroscopy, Near-Infrared Pattern Recognition, Automated Algorithms Image Processing, Computer-Assisted Tomography, Optical Brain Bayes Theorem Hemoglobins
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Variable neural adaptive robust control: a switched system approach.

IEEE transactions on neural networks and learning systems May 1, 2015
Variable neural adaptive robust control strategies are proposed for the output tracking control of a class of multiinput multioutput uncertain systems. The controllers incorporate a novel variable-structure radial basis function (RBF) network as the ...
Humans Nonlinear Dynamics Feedback Computer Simulation Neural Networks, Computer Models, Neurological
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Self-organizing neural networks integrating domain knowledge and reinforcement learning.

IEEE transactions on neural networks and learning systems May 1, 2015
The use of domain knowledge in learning systems is expected to improve learning efficiency and reduce model complexity. However, due to the incompatibility with knowledge structure of the learning systems and real-time exploratory nature of reinforce...
Reinforcement, Psychology Computer Simulation Neural Networks, Computer Humans Pattern Recognition, Automated Models, Theoretical Cognition Algorithms Knowledge
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A universal concept based on cellular neural networks for ultrafast and flexible solving of differential equations.

IEEE transactions on neural networks and learning systems Apr 1, 2015
This paper develops and validates a comprehensive and universally applicable computational concept for solving nonlinear differential equations (NDEs) through a neurocomputing concept based on cellular neural networks (CNNs). High-precision, stabilit...
Nonlinear Dynamics Computer Simulation Time Factors Problem Solving Software Humans Models, Neurological Neural Networks, Computer Algorithms Neurons
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