Title
Implementing fuzzy reasoning by IAF neurons
Abstract
Implementing of intersection operation and union operation in fuzzy reasoning is explored by three Integrate-And-Fire (IAF) neurons, with two neurons as inputs and the other one as output. We prove that if parameter values of the neurons are set appropriately for intersection operation, firing rate of the output neuron is equal to or is lower than the lower one of two input neurons. We also prove that if parameter values of the neurons are set appropriately for union operation, the firing rate of the output neuron is equal to or is higher than the higher one of the two input neurons. The characteristic of intersection operation and union operation implemented by IAF neurons is discussed.
Year
DOI
Venue
2005
10.1007/11539087_61
ICNC (1)
Keywords
Field
DocType
fuzzy reasoning,firing rate,parameter value,input neuron,union operation,iaf neuron,output neuron,intersection operation
Fuzzy reasoning,Computer science,Fuzzy logic,Artificial intelligence,Neuron,Artificial neural network,Machine learning
Conference
Volume
ISSN
ISBN
3610
0302-9743
3-540-28323-4
Citations 
PageRank 
References 
0
0.34
1
Authors
2
Name
Order
Citations
PageRank
Zhijie Wang18911.14
Hong Fan200.34