Neuro-Fuzzy Applications in Dialysis Systems

作者: Ahmad Taher Azar

DOI: 10.1007/978-3-642-27558-6_10

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摘要: Soft computing techniques are known for their efficiency in dealing with complicated problems when conventional analytical methods infeasible or too expensive, only sets of operational data available. Its principal constituents fuzzy logic, Artificial Neural Network (ANN) and evolutional computing, such as genetic algorithm. Neuro-fuzzy controllers constitute a class hybrid soft that use logic artificial neural networks. The advantages combination ANN Fuzzy Inference system (FIS) obvious. There several approaches to integrate FIS very often it depends on the application. This chapter gives an overview neuro-fuzzy design novel applications dialysis using adaptive-network-based inference (ANFIS) modeling predicting important variables hemodialysis process.

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