AIMC Journal:
IEEE transactions on neural networks and learning systems

Showing 501 to 510 of 783 articles

A Two-Timescale Duplex Neurodynamic Approach to Mixed-Integer Optimization.

IEEE transactions on neural networks and learning systems Jan 4, 2021
This article presents a two-timescale duplex neurodynamic approach to mixed-integer optimization, based on a biconvex optimization problem reformulation with additional bilinear equality or inequality constraints. The proposed approach employs two re...
Linear Models Problem Solving Algorithms Computer Simulation Neural Networks, Computer
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Multitask Learning and Reinforcement Learning for Personalized Dialog Generation: An Empirical Study.

IEEE transactions on neural networks and learning systems Jan 4, 2021
Open-domain dialog generation, which is a crucial component of artificial intelligence, is an essential and challenging problem. In this article, we present a personalized dialog system, which leverages the advantages of multitask learning and reinfo...
Machine Learning Neural Networks, Computer Databases, Factual Language Algorithms Artificial Intelligence Reinforcement, Psychology Humans
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Learning Student Networks via Feature Embedding.

IEEE transactions on neural networks and learning systems Jan 4, 2021
Deep convolutional neural networks have been widely used in numerous applications, but their demanding storage and computational resource requirements prevent their applications on mobile devices. Knowledge distillation aims to optimize a portable st...
Machine Learning Humans Deep Learning Neural Networks, Computer Knowledge
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A Brain-Inspired Framework for Evolutionary Artificial General Intelligence.

IEEE transactions on neural networks and learning systems Nov 30, 2020
From the medical field to agriculture, from energy to transportation, every industry is going through a revolution by embracing artificial intelligence (AI); nevertheless, AI is still in its infancy. Inspired by the evolution of the human brain, this...
Memory Biological Evolution Brain Artificial Intelligence Neuronal Plasticity Humans Algorithms Learning Neural Networks, Computer Neurons Genomics Animals Cognition
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Recent Advances on Dynamical Behaviors of Coupled Neural Networks With and Without Reaction-Diffusion Terms.

IEEE transactions on neural networks and learning systems Nov 30, 2020
Recently, the dynamical behaviors of coupled neural networks (CNNs) with and without reaction-diffusion terms have been widely researched due to their successful applications in different fields. This article introduces some important and interesting...
Uncertainty Feedback Fuzzy Logic Stochastic Processes Neural Networks, Computer Algorithms
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A Universal Approximation Result for Difference of Log-Sum-Exp Neural Networks.

IEEE transactions on neural networks and learning systems Nov 30, 2020
We show that a neural network whose output is obtained as the difference of the outputs of two feedforward networks with exponential activation function in the hidden layer and logarithmic activation function in the output node, referred to as log-su...
Machine Learning Algorithms Diet Diabetes Mellitus, Type 2 Feedback Neural Networks, Computer Meals Artificial Intelligence Humans
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Adaptive Tracking Control of State Constraint Systems Based on Differential Neural Networks: A Barrier Lyapunov Function Approach.

IEEE transactions on neural networks and learning systems Nov 30, 2020
The aim of this article is to investigate the trajectory tracking problem of systems with uncertain models and state restrictions using differential neural networks (DNNs). The adaptive control design considers the design of a nonparametric identifie...
Robotics Nonlinear Dynamics Uncertainty Neural Networks, Computer Algorithms Finite Element Analysis Computer Simulation Models, Theoretical
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Circular Complex-Valued GMDH-Type Neural Network for Real-Valued Classification Problems.

IEEE transactions on neural networks and learning systems Nov 30, 2020
Recently, applications of complex-valued neural networks (CVNNs) to real-valued classification problems have attracted significant attention. However, most existing CVNNs are black-box models with poor explanation performance. This study extends the ...
Animals Models, Theoretical Benchmarking Classification Data Interpretation, Statistical Algorithms Databases, Factual Neural Networks, Computer Machine Learning Humans
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Synchronization of Coupled Time-Delay Neural Networks With Mode-Dependent Average Dwell Time Switching.

IEEE transactions on neural networks and learning systems Nov 30, 2020
In the literature, the effects of switching with average dwell time (ADT), Markovian switching, and intermittent coupling on stability and synchronization of dynamic systems have been extensively investigated. However, all of them are considered sepa...
Probability Markov Chains Neural Networks, Computer Algorithms Stochastic Processes
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Stochastic Finite-Time H State Estimation for Discrete-Time Semi-Markovian Jump Neural Networks With Time-Varying Delays.

IEEE transactions on neural networks and learning systems Nov 30, 2020
In this article, the finite-time H state estimation problem is addressed for a class of discrete-time neural networks with semi-Markovian jump parameters and time-varying delays. The focus is mainly on the design of a state estimator such that the co...
Algorithms Markov Chains Stochastic Processes Neural Networks, Computer Finite Element Analysis
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