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IJON
2008
177views more  IJON 2008»
15 years 5 months ago
An asynchronous recurrent linear threshold network approach to solving the traveling salesman problem
In this paper, an approach to solving the classical Traveling Salesman Problem (TSP) using a recurrent network of linear threshold (LT) neurons is proposed. It maps the classical ...
Eu Jin Teoh, Kay Chen Tan, H. J. Tang, Cheng Xiang...
NIPS
1994
15 years 6 months ago
Learning to Play the Game of Chess
This paper presents NeuroChess, a program which learns to play chess from the final outcome of games. NeuroChess learns chess board evaluation functions, represented by artificial...
Sebastian Thrun
150
Voted
PDPTA
2003
15 years 6 months ago
Distributed Network Monitoring Using Mobile Agents Paradigm
Traditionally network monitoring and management has been done using predominantly centralized techniques. Mobile agents have been proposed as an alternative to this centralized app...
Farhad Kamangar, David Levine, Gergely V. Zá...
137
Voted
CCE
2008
15 years 5 months ago
Differential recurrent neural network based predictive control
An efficient algorithm to train general differential recurrent neural networks is proposed. The trained network can be directly used as the internal model of a predictive controll...
R. K. Al Seyab, Yi Cao
111
Voted
CCR
2007
72views more  CCR 2007»
15 years 5 months ago
Report from the clean slate network research post-sigcomm 2006 workshop
Europe has often followed in the footsteps of US research, but here we are trying to lead in Clean Slate networking research, rather than Cleans late networking. This is a report ...
Jon Crowcroft, Peter B. Key