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...
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...
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...
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...
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 ...