Basic Fuzzy Neuron and Fundamentals of ANN
Pp. 28-39 (12)
The chapter’s aim and objectives are to provide an artificial neural-based
fuzzy-logic foundation, and a general framework for design and analysis of ANN
systems. The first section therefore introduces membership functions, define and give a
relatively full operational description of fuzzy-logic neuron. Subsequent section two
introduces ANN design principles and analysis from which a general wave neural
network is derived. A full understanding of this chapter may be sufficient to design and
analyse any artificial neural network system.
Aggregation operator, Bell-shaped, Composite, Delta-function,
Experience, Fuzzy-set, Fuzziness, Gaussian, Hessian, Lower bound, Lagrange,
Membership grade, Operator, Peak, Relation, Stimuli, Support set, Upper bound.
University of Kent, United Kingdom.