Title :
Fuzzy-neural computing: some advances
Author_Institution :
Coll. of Eng., Saskatchewan Univ., Saskatoon, Sask., Canada
Abstract :
In this paper we give some basic principles of fuzzy neural computing using synaptic and somatic operations. We first briefly review the neural systems based upon the conventional algebraic synaptic (confluence) and somatic (aggregation) operations. Then we provide a detailed neuronal morphology based upon fuzzy logic and its generalization in the form of T-operators. For such fuzzy logic based neurons, we then develop the learning and adaptation algorithm.
Keywords :
fuzzy logic; fuzzy neural nets; learning (artificial intelligence); T-operators; adaptation algorithm; aggregation operation; confluence operation; fuzzy logic; fuzzy logic based neurons; fuzzy-neural computing; learning algorithm; neuronal morphology; somatic operations; synaptic operations; Biology computing; Central nervous system; Educational institutions; Fuzzy logic; Information processing; Intelligent systems; Laboratories; Morphology; Neurons; Postal services;
Conference_Titel :
Industrial Technology 2000. Proceedings of IEEE International Conference on
Print_ISBN :
0-7803-5812-0
DOI :
10.1109/ICIT.2000.854113
