Title :
A fuzzy neuron and its application to a hand-written character recognition system
Author :
Yamakawa, Takeshi
Author_Institution :
Dept. of Comput. Sci. & Control Eng., Kyushu Inst. of Technol., Fukuoka, Japan
Abstract :
A fuzzy neuron in which weighting factors and summation of a conventional neuron model are modified by a membership function and fuzzy logic functions, respectively, is described. An inhibitory synaptic junction is represented by a fuzzy logic complement. This fuzzy neuron facilitates a pattern recognition of a hand-written character by only one layer. It is verified by constructing the pattern recognition hardware system. The distinctive features of this system are: (1) its simplicity of design, (2) its robustness against noises and defects in the pattern, and (3) its high speed (500 ns)
Keywords :
character recognition; fuzzy logic; neural nets; fuzzy logic functions; fuzzy neuron; hand-written character recognition system; inhibitory synaptic junction; membership function; noises; pattern recognition hardware system; robustness; summation; weighting factors; Application software; Artificial neural networks; Character recognition; Computer science; Control engineering; Fuzzy logic; Fuzzy systems; Mathematical model; Neurons; Pattern recognition;
Conference_Titel :
Circuits and Systems, 1991., IEEE International Sympoisum on
Print_ISBN :
0-7803-0050-5
DOI :
10.1109/ISCAS.1991.176626
