Abstract: A method for learning to classify data according to two distinct classes (c11, c12) separated by a separating surface (S), by means of a neurone of the binary type comprising a parameter describing the separating surface and whose inputs are weighted by a weight (wi), and including the following steps:
a) defining a cost function C:
C
σ
=
∑
μ
=
1
(
γ
μ
>
o
)
P
⁢
[
A
-
B
⁢
⁢
tanh
⁢
⁢
Type:
Grant
Filed:
March 31, 1999
Date of Patent:
April 17, 2001
Assignees:
Commisariat a l'Energie Atomique, Centre National de la Recherc Scientifique