Fuzzy Computing in a MultiPurpose Neural Network Implementation

Authors:
Ciprian-Daniel Neagu;Vasile Palade
Affiliations:
-;-
Venue:
Proceedings of the 6th International Conference on Computational Intelligence, Theory and Applications: Fuzzy Days
Year:
1999

Citing 4
Cited 0

Fuzzy neural networks and neurocomputations

Fuzzy Sets and Systems
Neural nets for fuzzy systems

Fuzzy Sets and Systems - Special issue on fuzzy neural control
Neural Nets: A Theory for Brains and Machines

Neural Nets: A Theory for Brains and Machines
The role of fuzzy logic in the management of uncertainty in expert systems

Fuzzy Sets and Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

A family of connectionist tools is developed as a collection of fuzzy processing operators to model logic oriented computation of fuzzy sets. A generalized neuron with fuzzy capabilities (developed using the MAPI structure proposed in [4]) could be a useful tool to add another level of programmability. These combinations of generalized fuzzy computation, the expanded MAPI model and specific distributed architecture, are used as a powerful processing tool in financial forecasting, particularly in a portfolio problem. The neural reasoning engine is accorded to fuzzy rules, which model a real world portfolio evaluation process, taken from the current Romanian financial context.