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:
Sep. 27, 2011

Filed:

Sep. 12, 2001
Applicants:

Ghislain Imbert DE Tremiolles, Saint Paul, FR;

Pascal Tannhof, Fontainebleau, FR;

Inventors:

Ghislain Imbert de Tremiolles, Saint Paul, FR;

Pascal Tannhof, Fontainebleau, FR;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 15/18 (2006.01); G06E 1/00 (2006.01); G06E 3/00 (2006.01); G06G 7/00 (2006.01);
U.S. Cl.
CPC ...
Abstract

The method and circuits of the present invention aim to associate a complex component operator (CC_op) to each component of an input pattern presented to an input space mapping algorithm based artificial neural network (ANN) during the distance evaluation process. A complex operator consists in the description of a function and a set of parameters attached thereto. The function is a mathematical entity (either a logic operator e.g. match(Ai,Bi), abs(Ai−Bi), . . . or an arithmetic operator, e.g. >, <, . . . ) or a set of software instructions possibly with a condition. In a first embodiment, the ANN is provided with a global memory, common for all the neurons of the ANN, that stores all the CC_ops. In another embodiment, the set of CC_ops is stored in the prototype memory of the neuron, so that the global memory is no longer physically necessary. According to the present invention, a component of a stored prototype may now designate objects of different nature. In addition, either implementation significantly reduces the number of components that are required in the neurons, therefore saving room when the ANN is integrated in a silicon chip.


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