Designing and modeling of ultra low voltage and ultra low power LNA using ANN and ANFIS for Bluetooth applications

Neurocomputing

Volumn 120, Issue , 2013, Pages 504-508

  Karimi, Gholamreza ^a   Sedaghat, Sedighe Babaei ^a   Banitalebi, Roza ^a  

^a RAZI UNIVERSITY   (Iran)

Author keywords

Adaptive neuro fuzzy inference system (ANFIS); Artificial neural network (ANN); Low noise amplifier (LNA); Multilayer perceptron (MLP); Radial basis function (RBF)

Indexed keywords

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; BLUETOOTH APPLICATION; FREQUENCY RANGES; INDUCTIVE DEGENERATION; MULTI LAYER PERCEPTRON; NEURAL MODELING; RADIAL BASIS FUNCTION(RBF); ULTRA-LOW-VOLTAGE;

BLUETOOTH; LOW NOISE AMPLIFIERS; NEURAL NETWORKS;

RADIAL BASIS FUNCTION NETWORKS;

AMPLIFIER; ARTICLE; ARTIFICIAL NEURAL NETWORK; BLUETOOTH APPLICATION; COMPUTER MODEL; COMPUTER NETWORK; COMPUTER SIMULATION; FUZZY SYSTEM; PERCEPTRON; PRIORITY JOURNAL; PROCESS DEVELOPMENT; PROCESS OPTIMIZATION; RADIAL BASED FUNCTION; ULTRA LOW POWER LOW NOISE AMPLIFIER; ULTRA LOW VOLTAGE LOW NOISE AMPLIFIER; WIRELESS COMMUNICATION;

EID: 84882853340     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2013.04.021     Document Type: Article

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