Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Kazuki Kajita"'
Publikováno v:
IJCNN
An echo state network with a reservoir consisting of 200 tanh neurons is applied to the short-term prediction of a chaotic time series generated using the augmented Lorenz equations as a hyperchaotic flow model. The predictive performance is examined
Autor:
Kazuki Kajita, Eiji Konaka
Publikováno v:
IECON
Autonomous surveillance robots are now successful applications of robotics technologies. In this area, multiple surveillance routes have not been considered as a performance criterion. If the surveillance route is fixed and this fact is leaked to int