id: 06069495
dt: a
an: 06069495
au: Czoków, Maja; Schreiber, Tomasz
ti: Structure searching for adaptive spring networks for shape programming in
    3D.
so: Rutkowski, Leszek (ed.) et al., Artificial intelligence and soft computing.
    11th international conference, ICAISC 2012, Zakopane, Poland, April
    29‒May 3, 2012. Proceedings, Part II. Berlin: Springer (ISBN
    978-3-642-29349-8/pbk). Lecture Notes in Computer Science 7268. Lecture
    Notes in Artificial Intelligence, 207-215 (2012).
py: 2012
pu: Berlin: Springer
la: EN
cc: 
ut: 
ci: 
li: doi:10.1007/978-3-642-29350-4_25
ab: Summary: In this paper we propose a heuristic algorithm for construction an
    optimal spring network architecture aimed at obtaining desired
    mechanical behaviour in response to physical input (control) stimuli.
    The part of the algorithm that searches for a network structure is
    based on random graph walks. To ensure desired mechanical behaviour of
    the graph, physical parameters of the spring network are adjusted by an
    appropriate gradient descent learning algorithm. In addition, we
    discuss numerical results of the network search procedure.
rv: