Implementation of probabilistic automata in weightless neural networks

Proceedings - Brazilian Symposium on Neural Networks, SBRN

Volumn 2002-January, Issue , 2002, Pages 235-

  Oliveira, J C M ^a   De Souto, M C ^b   Ludermir, T B ^c  

^a UNIVERSIDADE ESTADUAL DO SUDOESTE DA BAHIA   (Brazil)

^b UNIVERSITY OF SÃO PAULO   (Brazil)

^c FEDERAL UNIVERSITY OF PERNAMBUCO   (Brazil)

Author keywords

Automata; Computational modeling; Computer networks; Intelligent networks; Network topology; Neural networks; Neurons; Output feedback; Phase change random access memory; Probabilistic logic

Indexed keywords

AUTOMATA THEORY; COMPUTATION THEORY; COMPUTER NETWORKS; INTELLIGENT NETWORKS; NEURAL NETWORKS; NEURONS; PHASE CHANGE MEMORY; RANDOM ACCESS STORAGE;

AUTOMATA; COMPUTATIONAL MODEL; NETWORK TOPOLOGY; OUTPUT FEEDBACK; PHASE CHANGE RANDOM ACCESS MEMORY;

PROBABILISTIC LOGICS;

EID: 84948952295     PISSN: 15224899     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SBRN.2002.1181481     Document Type: Conference Paper

References (3)

1. de Souto, M. C. P. Computability and learnability in Sequential Weightless Neural Network. Ph.D. thesis, Dept. of Elec. Eng. Of Imperial College (University of London), London, UK, 1999.
2. Gorse, D. and Taylor, J. G. A continuous input RAM-based stochastic neural model. Neural Networks 4, 1991, pp. 657-665.
3. Myers, C. and Aleksander, I. Learning algorithms for probabilistic logic nodes. In Abstracts of I Annual INNS Meeting, Boston, 1988, page 205.