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- research-articleNovember 2011
Delay-Independent Stability of Genetic Regulatory Networks
IEEE Transactions on Neural Networks (TNN), Volume 22, Issue 11Pages 1685–1693https://doi.org/10.1109/TNN.2011.2165556Genetic regulatory networks can be described by nonlinear differential equations with time delays. In this paper, we study both locally and globally delay-independent stability of genetic regulatory networks, taking messenger ribonucleic acid ...
- research-articleSeptember 2011
Discriminative Graph Embedding for Label Propagation
IEEE Transactions on Neural Networks (TNN), Volume 22, Issue 9Pages 1395–1405https://doi.org/10.1109/TNN.2011.2160873In many applications, the available information is encoded in graph structures. This is a common problem in biological networks, social networks, web communities and document citations. We investigate the problem of classifying nodes' labels on a ...
- research-articleAugust 2011
Consensus Analysis of Multiagent Networks via Aggregated and Pinning Approaches
IEEE Transactions on Neural Networks (TNN), Volume 22, Issue 8Pages 1231–1240https://doi.org/10.1109/TNN.2011.2157938In this paper, the consensus problem of multiagent nonlinear directed networks (MNDNs) is discussed in the case that a MNDN does not have a spanning tree to reach the consensus of all nodes. By using the Lie algebra theory, a linear node-and-node ...
- research-articleJuly 2011
LMI-Based Approach for Global Asymptotic Stability Analysis of Recurrent Neural Networks with Various Delays and Structures
IEEE Transactions on Neural Networks (TNN), Volume 22, Issue 7Pages 1032–1045https://doi.org/10.1109/TNN.2011.2131679Global asymptotic stability problem is studied for a class of recurrent neural networks with distributed delays satisfying Lebesgue-Stieljies measures on the basis of linear matrix inequality. The concerned network model includes many neural network ...
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- research-articleApril 2011
Global Robust Stability Criteria for Interval Delayed Full-Range Cellular Neural Networks
IEEE Transactions on Neural Networks (TNN), Volume 22, Issue 4Pages 666–671https://doi.org/10.1109/TNN.2011.2110661This brief considers a class of delayed full-range (FR) cellular neural networks (CNNs) with uncertain interconnections between neurons modeled by means of intervalized matrices. Using mathematical tools from the theory of differential inclusions, a ...
- research-articleApril 2011
Model Construction of Boolean Network via Observed Data
IEEE Transactions on Neural Networks (TNN), Volume 22, Issue 4Pages 525–536https://doi.org/10.1109/TNN.2011.2106512In this paper, a set of data is assumed to be obtained from an experiment that satisfies a Boolean dynamic process. For instance, the dataset can be obtained from the diagnosis of describing the diffusion process of cancer cells. With the observed ...
- research-articleFebruary 2011
Graph Characterization via Ihara Coefficients
IEEE Transactions on Neural Networks (TNN), Volume 22, Issue 2Pages 233–245https://doi.org/10.1109/TNN.2010.2091969The novel contributions of this paper are twofold. First, we demonstrate how to characterize unweighted graphs in a permutation-invariant manner using the polynomial coefficients from the Ihara zeta function, i.e., the Ihara coefficients. Second, we ...
- opinionJanuary 2011
- research-articleDecember 2010
Periodic activation function and a modified learning algorithm for the multivalued neuron
IEEE Transactions on Neural Networks (TNN), Volume 21, Issue 12Pages 1939–1949https://doi.org/10.1109/TNN.2010.2082561In this paper, we consider a new periodic activation function for the multivalued neuron (MVN). The MVN is a neuron with complex-valued weights and inputs/output, which are located on the unit circle. Although the MVN outperforms many other neurons and ...
- research-articleOctober 2010
Approximate solution of the multiple watchman routes problem with restricted visibility range
IEEE Transactions on Neural Networks (TNN), Volume 21, Issue 10Pages 1668–1679https://doi.org/10.1109/TNN.2010.2070518In this paper, a new self-organizing map (SOM) based adaptation procedure is proposed to address the multiple watchman route problem with the restricted visibility range in the polygonal domain W. A watchman route is represented by a ring of connected ...
- research-articleAugust 2010
Backpropagation and ordered derivatives in the time scales calculus
IEEE Transactions on Neural Networks (TNN), Volume 21, Issue 8Pages 1262–1269https://doi.org/10.1109/TNN.2010.2050332Backpropagation is the most widely used neural network learning technique. It is based on the mathematical notion of an ordered derivative. In this paper, we present a formulation of ordered derivatives and the backpropagation training algorithm using ...
- research-articleApril 2010
State-space analysis of Boolean networks
IEEE Transactions on Neural Networks (TNN), Volume 21, Issue 4Pages 584–594https://doi.org/10.1109/TNN.2009.2039802This paper provides a comprehensive framework for the state-space approach to Boolean networks. First, it surveys the authors' recentwork on the topic: Using semitensor product of matrices and the matrix expression of logic, the logical dynamic ...
- research-articleNovember 2009
Adachi-like chaotic neural networks requiring linear-time computations by enforcing a tree-shaped topology
IEEE Transactions on Neural Networks (TNN), Volume 20, Issue 11Pages 1797–1809https://doi.org/10.1109/TNN.2009.2030582The Adachi neural network (AdNN) is a fascinating neural network (NN) which has been shown to possess chaotic properties, and to also demonstrate associative memory (AM) and pattern recognition (PR) characteristics. Variants of the AdNN have also been ...
- research-articleJune 2009
A neural network model to minimize the connected dominating set for self-configuration of wireless sensor networks
IEEE Transactions on Neural Networks (TNN), Volume 20, Issue 6Pages 973–982https://doi.org/10.1109/TNN.2009.2015088A wireless ad hoc sensor network consists of a number of sensors spreading across a geographical area. The performance of the network suffers as the number of nodes grows, and a large sensor network quickly becomes difficult to manage. Thus, it is ...
- research-articleMay 2009
Comments on "Discrete-time adaptive backstepping nonlinear control via high-order neural networks"
IEEE Transactions on Neural Networks (TNN), Volume 20, Issue 5Pages 897–898https://doi.org/10.1109/TNN.2009.2016757The purpose of this comment is to point out some mistakes in the above paper. It is shown that the main results of the paper cannot stand in general. Also, it is pointed out that after some corrections, the proposed control algorithm is still applicable ...
- research-articleMay 2009
State estimation for coupled uncertain stochastic networks with missing measurements and time-varying delays: the discrete-time case
IEEE Transactions on Neural Networks (TNN), Volume 20, Issue 5Pages 781–793https://doi.org/10.1109/TNN.2009.2013240This paper is concerned with the problem of state estimation for a class of discrete-time coupled uncertain stochastic complex networks with missing measurements and time-varying delay. The parameter uncertainties are assumed to be norm-bounded and ...
- research-articleJanuary 2009
The graph neural network model
IEEE Transactions on Neural Networks (TNN), Volume 20, Issue 1Pages 61–80https://doi.org/10.1109/TNN.2008.2005605Many underlying relationships among data in several areas of science and engineering, e.g., computer vision, molecular chemistry, molecular biology, pattern recognition, and data mining, can be represented in terms of graphs. In this paper, we propose a ...