Title :
Parallel distributed gradient descent and ascent methods
Author_Institution :
Dept. of Electr. Eng., Case Western Res. Univ., Cleveland, OH, USA
Abstract :
Summary form only given, as follows. A parallel distributed processing architecture called an entropy machine (EM) is proposed. This machine, which is based on an artificial neural network composed of massive neurons and interconnections, is used for solving a variety of NP-complete optimization problems. The EM performs the parallel distributed gradient descent method or gradient ascent method to search for minima or maxima.<>
Keywords :
entropy; neural nets; optimisation; parallel architectures; search problems; NP-complete optimization problems; artificial neural network; distributed processing architecture; gradient ascent method; maxima; minima; parallel distributed gradient descent method; search; Entropy; Neural networks; Optimization methods; Parallel architectures; Search methods;
Conference_Titel :
Neural Networks, 1989. IJCNN., International Joint Conference on
Conference_Location :
Washington, DC, USA
DOI :
10.1109/IJCNN.1989.118349