DocumentCode
301528
Title
Neural automata based object recognition
Author
Rajan, E.G. ; Kumar, Vinay ; Kiran, A.G.S. ; Chowdhary, Ajitha ; Murthy, N.S.
Author_Institution
Modelling & Simulation Group, Vasavi Coll. of Eng., Hyderabad, India
Volume
2
fYear
1995
fDate
22-25 Oct 1995
Firstpage
1882
Abstract
In this paper, we introduce a novel concept called neural automata which has been formulated using the fundamental notions of neural network, cellular automata and genetic algorithms. This concept has been formally theorised based on five axioms which are expressed in the form of five closed sentences of Markov´s constructive logical calculus. We show how neural automata could be used to identify objects of interest in a specific domain of interpretation
Keywords
Markov processes; cellular automata; formal languages; genetic algorithms; neural nets; object recognition; Markov´s constructive logical calculus; cellular automata; genetic algorithms; neural automata; neural network; object recognition; Cybernetics; Digital images; Educational institutions; Genetic engineering; Learning automata; Logic; Machine learning; Object recognition; Pattern matching; Turing machines;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on
Conference_Location
Vancouver, BC
Print_ISBN
0-7803-2559-1
Type
conf
DOI
10.1109/ICSMC.1995.538050
Filename
538050
Link To Document