Evaluation of an optical phenolic biosensor signal employing artificial neural networks

Sensors and Actuators, B: Chemical

Volumn 134, Issue 2, 2008, Pages 959-965

  Abdullah, Jaafar ^a   Ahmad, Musa ^b   Heng, Lee Yook ^b   Karuppiah, Nadarajah ^a   Sidek, Hamidah ^a  

^a Environment and Bioprocess Technology Centre   (Malaysia)

^b UNIVERSITI KEBANGSAAN MALAYSIA   (Malaysia)

Author keywords

Artificial neural network; MBTH; Optical biosensor; Phenol

Indexed keywords

AMINES; ARTIFICIAL INTELLIGENCE; BACKPROPAGATION; BACKPROPAGATION ALGORITHMS; BIOSENSORS; COLLOIDS; CONCENTRATION (PROCESS); FEEDFORWARD NEURAL NETWORKS; GELATION; IMAGE CLASSIFICATION; MILITARY OPERATIONS; NEURONS; PHENOLS; SIGNAL PROCESSING; SIGNAL TRANSDUCTION; SILICATES; VEGETATION;

3-METHYL-2-BENZOTHIAZOLINONE HYDRAZONE; ARTIFICIAL NEURAL NETWORK; ARTIFICIAL NEURAL NETWORKS; BIO SENSOR; HIDDEN NEURONS; INPUT DATA; MBTH; OPTICAL BIOSENSOR; OPTICAL-; PHENOL; PHENOL CONCENTRATIONS;

NEURAL NETWORKS;

EID: 51849106365     PISSN: 09254005     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.snb.2008.07.009     Document Type: Article

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