AIMC Journal:
IEEE transactions on neural networks and learning systems

Showing 731 to 740 of 817 articles

Training Recurrent Neural Networks With the Levenberg-Marquardt Algorithm for Optimal Control of a Grid-Connected Converter.

IEEE transactions on neural networks and learning systems Oct 15, 2014
This paper investigates how to train a recurrent neural network (RNN) using the Levenberg-Marquardt (LM) algorithm as well as how to implement optimal control of a grid-connected converter (GCC) using an RNN. To successfully and efficiently train an ...
Computer Systems Time Factors Algorithms Learning Pattern Recognition, Automated Humans Neural Networks, Computer
View on PubMed DOI

Improved Fault Classification in Series Compensated Transmission Line: Comparative Evaluation of Chebyshev Neural Network Training Algorithms.

IEEE transactions on neural networks and learning systems Oct 13, 2014
This paper presents the Chebyshev neural network (ChNN) as an improved artificial intelligence technique for power system protection studies and examines the performances of two ChNN learning algorithms for fault classification of series compensated ...
Neural Networks, Computer Least-Squares Analysis Teaching Artificial Intelligence Algorithms
View on PubMed DOI

Artificial Electrical Morris-Lecar Neuron.

IEEE transactions on neural networks and learning systems Oct 13, 2014
In this paper, an experimental electronic neuron based on a complete Morris-Lecar model is presented, which is able to become an experimental unit tool to study collective association of coupled neurons. The circuit design is given according to the i...
Neural Networks, Computer Models, Neurological Humans Nerve Net Electricity Neurons Electronics
View on PubMed DOI

Approximate N-Player Nonzero-Sum Game Solution for an Uncertain Continuous Nonlinear System.

IEEE transactions on neural networks and learning systems Oct 8, 2014
An approximate online equilibrium solution is developed for an N -player nonzero-sum game subject to continuous-time nonlinear unknown dynamics and an infinite horizon quadratic cost. A novel actor-critic-identifier structure is used, wherein a robus...
Neural Networks, Computer Algorithms Uncertainty Least-Squares Analysis Signal Processing, Computer-Assisted Nonlinear Dynamics
View on PubMed DOI

Opportunistic Behavior in Motivated Learning Agents.

IEEE transactions on neural networks and learning systems Sep 30, 2014
This paper focuses on the novel motivated learning (ML) scheme and opportunistic behavior of an intelligent agent. It extends previously developed ML to opportunistic behavior in a multitask situation. Our paper describes the virtual world implementa...
Neural Networks, Computer Machine Learning Humans Robotics Environment Motivation
View on PubMed DOI

Adaptive Batch Mode Active Learning.

IEEE transactions on neural networks and learning systems Sep 29, 2014
Active learning techniques have gained popularity to reduce human effort in labeling data instances for inducing a classifier. When faced with large amounts of unlabeled data, such algorithms automatically identify the exemplar and representative ins...
Problem-Based Learning Biometry Machine Learning Algorithms Neural Networks, Computer
View on PubMed DOI

Adaptive Neural Control of Nonaffine Systems With Unknown Control Coefficient and Nonsmooth Actuator Nonlinearities.

IEEE transactions on neural networks and learning systems Sep 26, 2014
This brief considers the asymptotic tracking problem for a class of high-order nonaffine nonlinear dynamical systems with nonsmooth actuator nonlinearities. A novel transformation approach is proposed, which is able to systematically transfer the ori...
Models, Statistical Nonlinear Dynamics Environment Machine Learning Feedback Neural Networks, Computer
View on PubMed DOI

Globally Stable Adaptive Backstepping Neural Network Control for Uncertain Strict-Feedback Systems With Tracking Accuracy Known a Priori.

IEEE transactions on neural networks and learning systems Sep 25, 2014
This paper addresses the problem of globally stable direct adaptive backstepping neural network (NN) tracking control design for a class of uncertain strict-feedback systems under the assumption that the accuracy of the ultimate tracking error is giv...
Uncertainty Feedback Humans Nonlinear Dynamics Algorithms Neural Networks, Computer Computer Simulation
View on PubMed DOI

An Experimentation Platform for On-Chip Integration of Analog Neural Networks: A Pathway to Trusted and Robust Analog/RF ICs.

IEEE transactions on neural networks and learning systems Sep 17, 2014
We discuss the design of an experimentation platform intended for prototyping low-cost analog neural networks for on-chip integration with analog/RF circuits. The objective of such integration is to support various tasks, such as self-test, self-tuni...
Biomimetics Synapses Signal Processing, Computer-Assisted Neurons Machine Learning Neural Networks, Computer
View on PubMed DOI

Global exponential synchronization of multiple memristive neural networks with time delay via nonlinear coupling.

IEEE transactions on neural networks and learning systems Sep 12, 2014
This paper presents theoretical results on the global exponential synchronization of multiple memristive neural networks with time delays. A novel coupling scheme is introduced, in a general topological structure described by a directed or undirected...
Time Factors Algorithms Models, Theoretical Neural Networks, Computer Nonlinear Dynamics Computer Simulation
View on PubMed DOI
Popular Topics
Popular Journals