Design of MLP NN-based SWGAD

Title:

Design of MLP NN-based SWGAD

Creator:

Alsabbah, Shebel and Mughrabi , Tariq

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:ef809592-835b-4899-9d92-4094d5f778b8
uuid:ef809592-835b-4899-9d92-4094d5f778b8

Subject:

Smart waveguide acoustic detector SWGAD, artificial neural network ANN, and LABVIEW

Type:

model:article and TEXT

Format:

bez média and svazek

Description:

One of the most recent and perspective gas detectors is a smart wave\-guide acoustic detector, in which chromatogram represents the mass concentration of the gas to be detected. On the other hand, with respect to design criterions and limits (cost and size), an alternative numerical-based detector has been designed, using a multi-layer perceptron neural network to estimate the frequency and mass concentration of the unknown gas (sample). Experimental data were used for designing the database of the neural network-based detector. The proposed NN-based detector was compared with the real one to validate the proposal. Finally, numerical results were obtained to evaluate its performance.

Language:

English

Rights:

http://creativecommons.org/publicdomain/mark/1.0/
policy:public

Source:

Neural network world: international journal on neural and mass-parallel computing and information systems | 2008 Volume:18 | Number:3

Harvested from:

CDK

Metadata only:

false