Neural networks : the official journal of the International Neural Network Society
Mar 21, 2017
This paper concerns the time-dependent shortest path problem, which is difficult to come up with global optimal solution by means of classical shortest path approaches such as Dijkstra, and pulse-coupled neural network (PCNN). In this study, we propo...
Journal of biomedical informatics
Feb 28, 2017
Today, there is considerable interest in personal healthcare. The pervasiveness of technology allows to precisely track human behavior; however, when dealing with the development of an intelligent assistant exploiting data acquired through such techn...
Neural networks : the official journal of the International Neural Network Society
Feb 9, 2017
This paper presents a neural network model for solving random interval linear programming problems. The original problem involving random interval variable coefficients is first transformed into an equivalent convex second order cone programming prob...
International journal of psychophysiology : official journal of the International Organization of Psychophysiology
Oct 22, 2016
Automatic workload estimation has received much attention because of its application in error prevention, diagnosis, and treatment of neural system impairment. The development of a simple but reliable method using minimum number of psychophysiologica...
Neural networks : the official journal of the International Neural Network Society
Sep 9, 2016
This paper presents a neurodynamic approach with a recurrent neural network for solving convex optimization problems with general constraint. It is proved that for any initial point, the state of the proposed neural network reaches the constraint set...
Topics in cognitive science
Aug 26, 2016
In a matter of mere milliseconds, conversational partners can transform their expectations about the world in a way that accords with another person's perspective. At the same time, in similar situations, the exact opposite also appears to be true. R...
Computational and mathematical methods in medicine
Jul 18, 2016
Brain magnetic resonance imaging (MRI) classification into normal and abnormal is a critical and challenging task. Owing to that, several medical imaging classification techniques have been devised in which Learning Vector Quantization (LVQ) is among...
Neural networks : the official journal of the International Neural Network Society
Apr 29, 2016
In this paper, a recurrent neural network (RNN) is proposed for solving adaptive beamforming problem. In order to minimize sidelobe interference, the problem is described as a convex optimization problem based on linear array model. RNN is designed t...
Neural networks : the official journal of the International Neural Network Society
Mar 31, 2016
There is a long-standing, sometimes contentious debate in AI concerning the relative merits of a symbolic, top-down approach vs. a neural, bottom-up approach to engineering intelligent machine behaviors. While neurocomputational methods excel at lowe...
Journal of biomedical informatics
Feb 27, 2016
BACKGROUND: Coreference resolution is an essential task in information extraction from the published biomedical literature. It supports the discovery of complex information by linking referring expressions such as pronouns and appositives to their re...