A Two-Tiered Classification Algorithm for Identification of Binary Mixtures of VOCs
نویسندگان
چکیده
Several classification techniques have been developed with varying degrees of success for automated identification of VOCs, however, the problem becomes considerably more challenging when more then one VOC is present. This is because not only the response of the sensors to certain VOCs may be too strong to mask the response of the sensors to other VOCs in the environment, but also the responses of the sensors to VOCs may not have enough separability information if the specificity of the sensors is not adequate. We propose the following procedures for these two isssues in identification of binary mixtures of VOCs: a nonlinear cluster transformation technique is employed to increase pattern separability and a two-step classification is used to identify dominant and secondary VOCs separately. Results demonstrate the feasibility of the combined approach.
منابع مشابه
A combined pattern separability and two-tiered classification approach for identification of binary mixtures of VOCs
Several classification techniques have been developed with varying degrees of success for automated identification of VOCs, however, the problem becomes considerably more challenging when more than one VOC is present. The reason is two-fold: first, the response of the sensors to certain VOCs may be too strong and mask the response of the sensors to other VOCs in the environment; and second the ...
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