A Parallel Network Equilibration Algorithm for a Class of Constrained Matrix Problems

1992 ◽  
Vol 26 (1) ◽  
pp. 59-68 ◽  
Author(s):  
Anna Nagurney ◽  
Alexander Eydeland
Keyword(s):  
Parallel Network ◽  
Matrix Problems

Parallel Network Mapping Algorithms

2021 ◽  
Author(s):  
Ramtin Afshar ◽  
Michael T. Goodrich ◽  
Pedro Matias ◽  
Martha C. Osegueda
Keyword(s):  
Mapping Algorithms ◽  
Parallel Network ◽  
Network Mapping

A Novel Automatic Modulation Classification Method Using Attention Mechanism and Hybrid Parallel Neural Network

2021 ◽  
Vol 11 (3) ◽  
pp. 1327
Author(s):  
Rui Zhang ◽  
Zhendong Yin ◽  
Zhilu Wu ◽  
Siyang Zhou
Keyword(s):  
Neural Network ◽  
Communication Systems ◽  
Parallel Structure ◽  
Modulation Classification ◽  
Automatic Modulation Classification ◽  
Spatial Features ◽  
Temporal Features ◽  
Different Types ◽  
In Series ◽  
Parallel Network

Automatic Modulation Classification (AMC) is of paramount importance in wireless communication systems. Existing methods usually adopt a single category of neural network or stack different categories of networks in series, and rarely extract different types of features simultaneously in a proper way. When it comes to the output layer, softmax function is applied for classification to expand the inter-class distance. In this paper, we propose a hybrid parallel network for the AMC problem. Our proposed method designs a hybrid parallel structure which utilizes Convolution Neural Network (CNN) and Gate Rate Unit (GRU) to extract spatial features and temporal features respectively. Instead of superposing these two categories of features directly, three different attention mechanisms are applied to assign weights for different types of features. Finally, a cosine similarity metric named Additive Margin softmax function, which can expand the inter-class distance and compress the intra-class distance simultaneously, is adopted for output. Simulation results demonstrate that the proposed method can achieve remarkable performance on an open access dataset.

scholarly journals Generalized Green's functions for higher order boundary value matrix differential systems

1992 ◽  
Vol 15 (3) ◽  
pp. 523-535 ◽  
Author(s):  
R. J. Villanueva ◽  
L. Jodar
Keyword(s):  
Boundary Value ◽  
Existence Condition ◽  
Higher Order ◽  
Closed Form Expression ◽  
Problem Dimension ◽  
Green’S Matrix ◽  
Matrix Differential ◽  
Matrix Problems ◽  
Differential Matrix ◽  
Well Posed

In this paper, a Green's matrix function for higher order two point boundary value differential matrix problems is constructed. By using the concept of rectangular co-solution of certain algebraic matrix equation associated to the problem, an existence condition as well as an explicit closed form expression for the solution of possibly not well-posed boundary value problems is given avoiding the increase of the problem dimension.

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