Sciweavers

52 search results - page 1 / 11
» A discrete-time neural network for optimization problems wit...
Sort
View
TNN
2010
182views Management» more  TNN 2010»
12 years 11 months ago
A discrete-time neural network for optimization problems with hybrid constraints
Abstract--Recurrent neural networks have become a prominent tool for optimizations including linear or nonlinear variational inequalities and programming, due to its regular mathem...
Huajin Tang, Haizhou Li, Zhang Yi
ICALP
1997
Springer
13 years 8 months ago
Discrete-Time Control for Rectangular Hybrid Automata
Rectangular hybrid automatamodel digital control programs of analog plant environments. We study rectangular hybrid automatawhere the plant state evolves continuously in real-numbe...
Thomas A. Henzinger, Peter W. Kopke
TNN
2008
108views more  TNN 2008»
13 years 4 months ago
A Novel Recurrent Neural Network for Solving Nonlinear Optimization Problems With Inequality Constraints
This paper presents a novel recurrent neural network for solving nonlinear optimization problems with inequality constraints. Under the condition that the Hessian matrix of the ass...
Youshen Xia, Gang Feng, Jun Wang
APIN
2005
92views more  APIN 2005»
13 years 4 months ago
A Hybrid Neural-Genetic Algorithm for the Frequency Assignment Problem in Satellite Communications
A hybrid Neural-Genetic algorithm (NG) is presented for the frequency assignment problem in satellite communications (FAPSC). The goal of this problem is minimizing the cochannel i...
Sancho Salcedo-Sanz, Carlos Bousoño-Calz&oa...
ESANN
2007
13 years 6 months ago
The Recurrent Control Neural Network
This paper presents our Recurrent Control Neural Network (RCNN), which is a model-based approach for a data-efficient modelling and control of reinforcement learning problems in di...
Anton Maximilian Schäfer, Steffen Udluft, Han...