The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Dec. 17, 2002

Filed:

May. 01, 2000
Applicant:
Inventors:

Saïd Labreche, Toulouse, FR;

Hicham Amine, Balma, FR;

Tze Tsung Tan, Toulouse, FR;

François Loubet, Balma, FR;

Assignee:

Alpha M.O.S., Toulouse, FR;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G05B 1/302 ;
U.S. Cl.
CPC ...
G05B 1/302 ;
Abstract

A classification apparatus, notably for uses in recognition or characterisation of odors, comprises a plurality of sensors for generating raw data representing a plurality of instances of a plurality of different classes; and a processing unit for processing said raw data so as to determine an identification model. The identification model comprises definitions of the classes and a particular allocation rule selected dependent upon the application. The class definitions are established by analysing data obtained during a learning phase, the analysis being performed according to a particular information extraction method. During a later identification phase, the identification model enables an instance of unknown class to be allocated to an appropriate class amongst those defined during the learning phase. The information extraction method can be selected dependent upon the application. Preferably, a percentage of the data obtained during the learning phase is used to establish a plurality of candidate identification models, and the identification model which is selected for use is the one which gives the highest number of correct classifications when use to classify the other data obtained during the learning phase.


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