AIMC Journal:
IEEE transactions on neural networks and learning systems

Showing 811 to 817 of 817 articles

Non-divergence of stochastic discrete time algorithms for PCA neural networks.

IEEE transactions on neural networks and learning systems Feb 1, 2015
Learning algorithms play an important role in the practical application of neural networks based on principal component analysis, often determining the success, or otherwise, of these applications. These algorithms cannot be divergent, but it is very...
Neural Networks, Computer Artificial Intelligence Algorithms Computer Simulation Time Factors Stochastic Processes
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Delay-based reservoir computing: noise effects in a combined analog and digital implementation.

IEEE transactions on neural networks and learning systems Feb 1, 2015
Reservoir computing is a paradigm in machine learning whose processing capabilities rely on the dynamical behavior of recurrent neural networks. We present a mixed analog and digital implementation of this concept with a nonlinear analog electronic c...
Neural Networks, Computer Artificial Intelligence Computer Simulation Data Interpretation, Statistical Nonlinear Dynamics
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Consensus-based distributed cooperative learning from closed-loop neural control systems.

IEEE transactions on neural networks and learning systems Feb 1, 2015
In this paper, the neural tracking problem is addressed for a group of uncertain nonlinear systems where the system structures are identical but the reference signals are different. This paper focuses on studying the learning capability of neural net...
Neural Networks, Computer Artificial Intelligence Algorithms Learning Communication Consensus Nonlinear Dynamics Uncertainty
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Backstepping fuzzy-neural-network control design for hybrid maglev transportation system.

IEEE transactions on neural networks and learning systems Feb 1, 2015
This paper focuses on the design of a backstepping fuzzy-neural-network control (BFNNC) for the online levitated balancing and propulsive positioning of a hybrid magnetic levitation (maglev) transportation system. The dynamic model of the hybrid magl...
Neural Networks, Computer Algorithms Models, Theoretical Fuzzy Logic Motion Nonlinear Dynamics Pattern Recognition, Automated
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A scalable projective scaling algorithm for l(p) loss with convex penalizations.

IEEE transactions on neural networks and learning systems Feb 1, 2015
This paper presents an accurate, efficient, and scalable algorithm for minimizing a special family of convex functions, which have a lp loss function as an additive component. For this problem, well-known learning algorithms often have well-establish...
Neural Networks, Computer Artificial Intelligence Algorithms Computational Biology Models, Biological
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Existence and uniform stability analysis of fractional-order complex-valued neural networks with time delays.

IEEE transactions on neural networks and learning systems Jan 1, 2015
This paper deals with the problem of existence and uniform stability analysis of fractional-order complex-valued neural networks with constant time delays. Complex-valued recurrent neural networks is an extension of real-valued recurrent neural netwo...
Humans Neural Networks, Computer Algorithms Time Factors Models, Theoretical Linear Models
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Feature selection using a neural framework with controlled redundancy.

IEEE transactions on neural networks and learning systems Jan 1, 2015
We first present a feature selection method based on a multilayer perceptron (MLP) neural network, called feature selection MLP (FSMLP). We explain how FSMLP can select essential features and discard derogatory and indifferent features. Such a method...
Humans Neural Networks, Computer Artificial Intelligence Decision Support Techniques Computer Simulation Learning Datasets as Topic Perception
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