Neurocontrol — the use of ANNs to directly control motors, actuators, etc. — uses five generalized designs, related to control theory, that can work on fuzzy ...
Neurocontrol and fuzzy logic: Connections and designs Artificial neural networks (ANNs) and fuzzy logic are complementary technologies.
These designs can copy what experts do instead of what they say, learn to track trajectories, generalize adaptive control, and maximize performance or minimize ...
This paper will show how elastic fuzzy logic (EFL) nets make it possible to combine the capabili- ties of expert systems with the learning capabilities of ...
When complex inference is required, in fuzzy logic as in conventional logic, the design of an inference engine can be very tricky. Neurocontrol systems may be ...
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Quek CPasquier MLim B(2009)A novel self-organizing fuzzy rule-based system for modelling traffic flow behaviourExpert Systems with Applications: An ...
The important aspects that were considered are: age/date of birth, gender, marital status, deportation, place of habitation, work. The analysis was done ...
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existing neuro-fuzzy approaches; of either keeping neural networks and fuzzy logic as separate ... [10] P. J. Werbos, "Neurocontrol and fuzzy logic: connections ...
Comparing with traditional neuro-fuzzy systems, the proposed neural architecture is more flexible and simplifies the design process by removing division/ ...