Application of artificial neural networks coupled with an orthogonal design and optimization algorithms to multifactor optimization of a new FIA system for the determination of uranium(vi) in ore samples

Sun, Gang; Zhou, Yongyao; Wang, Huaiwen; Chen, Hongli; Chen, Xingguo; Hu, Zhide

doi:10.1039/a908689g

Cited by 8 publications

(1 citation statement)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…ANNs have been found to be powerful tools, particularly suited for various tasks in information processing, such as memorizing, associating, recognizing patterns, generalizing, analyzing non-linear multivariate data, etc [23]. Currently, the most widely used ANN type is a multilayer feedforward network, which is trained by a backpropagation algorithm.…”

Section: Introductionmentioning

confidence: 99%

Electronic Tongue Using an Enzyme Inhibition Biosensor Array for the Resolution of Pesticide Mixtures

2007

View full text Add to dashboard Cite

An electronic tongue has been developed, employing an array of inhibition biosensors and Artificial Neural Networks (ANNs). The array of biosensors was formed by three amperometric pesticide biosensors that used different acetylcholinesterase (AChE) enzymes: the wild type from electric eel (EE) and two different genetically modified enzymes (B1 and B394). In order to model the response to dichlorvos and carbofuran mixtures, a total amount of 22 solutions were prepared, with random concentrations. Chronoamperometric responses of the biosensor array were used in order to obtain the inhibition bioelectronic tongue. Mean values of concentration of pesticides evaluated were 0.79 nM for dichlorvos and 4.1 nM for carbofuran. Good prediction ability was obtained with correlation coefficients better than 0.918 when the obtained values were compared with those expected for a set of 6 external test samples not used for training.

show abstract

Section: Introductionmentioning

confidence: 99%