Title :
Inverse Viterbi algorithm as learning procedure and application to optimization in the string instrument fingering problem
Author :
Sayegh, Samir I. ; Tenorio, Manoel F.
Author_Institution :
Dept. of Phys., Indiana-Purdue Univ., Fort Wayne, IN, USA
Abstract :
The realization of a certain function is implemented as a minimization principle. The input is specified by activating a subnetwork of the network and the output by finding the best path connecting the first layer to the last layer of the active subnetwork. This formulation is very attractive because of the existence of fast parallel algorithms for the implementation of the forward phase and because of the simplicity and speed of the learning phase algorithm that the authors propose. A large class of functions can naturally be implemented within this framework. The particular application chosen is that of the optimization problem for stringed instrument fingering.<>
Keywords :
humanities; learning systems; musical instruments; neural nets; optimisation; parallel algorithms; fast parallel algorithms; guitar; inverse Viterbi algorithm; learning procedure; minimization principle; optimization; stringed instrument fingering; subnetwork activation; Humanities; Learning systems; Neural networks; Optimization methods; Parallel algorithms;
Conference_Titel :
Neural Networks, 1988., IEEE International Conference on
Conference_Location :
San Diego, CA, USA
DOI :
10.1109/ICNN.1988.23964
