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
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;
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
DOI :
10.1109/ICSMC.1995.538050
