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Fuzzy-neural control in intensive-care blood pressure management

Fuzzy-neural control in intensive-care blood pressure management

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This chapter addresses three fundamental and important issues concerning the implementation of a knowledge based system, in particular a fuzzy rule based system, for use in intelligent control. These issues are knowledge acquisition, computational representation, and reasoning. Our primary objective is to develop systems which are capable of performing self-organising and self-learning functions in a real-time manner under multivariable system environments by utilising fuzzy logic, neural networks, and a combination of both paradigms with emphasis on the novel system architectures, algorithms, and applications to problems found in biomedical systems. Considerable effort has been devoted to making the proposed approaches as generic, simple and systematic as possible.

Inspec keywords: fuzzy neural nets; medical computing; self-adjusting systems; neurocontrollers; haemodynamics; medical control systems; fuzzy control

Other keywords: multivariable system environments; intelligent control; fuzzy rule based system; knowledge acquisition; knowledge based system; self-learning function; self-organising function; reasoning; intensive-care blood pressure management; computational representation; fuzzy-neural control; biomedical systems

Subjects: Biological and medical control systems

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