Title :
State of the art of neuro-fuzzy systems and their applications to intelligent manufacturing and fault diagnosis
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 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 :
fault diagnosis; fuzzy neural nets; generalisation (artificial intelligence); industrial control; intelligent control; T-operators; aggregation operations; confluence operations; fault diagnosis; fuzzy logic; fuzzy neural computing; intelligent manufacturing; neuro-fuzzy systems; somatic operations; synaptic operations; Biology computing; Central nervous system; Fault diagnosis; Fuzzy logic; Fuzzy neural networks; Fuzzy systems; Information processing; Morphology; Neurons; Pulp manufacturing;
Conference_Titel :
IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-7078-3
DOI :
10.1109/NAFIPS.2001.944265
