Patent Document ID: 20020174080
Application ID: 09817285
Patent Flag: 0

Claim One:
1. A fuzzy-neuro method to discriminate optical disk type by using a neuro network; comprising the following steps: (a) fuzzy quantizing a plurality of electrical signals measured from optical disks of various formats and establishing a plurality of characteristic signal sets corresponding to the optical disks of various formats; (b) measuring the plurality of electrical signals from an optical disk to be discriminated and obtaining an input signal set for the optical disk to be discriminated; (c) sending the signal set to an input layer of the neuro network; (d) storing the characteristic signal sets in step (a) in a distance layer of the neuro network; (e) computing the distances of the input signal set with respect to the characteristic signal sets stored in the distance layer of the neuro network; (f) sending the distances of the input signal set with respect to the characteristic signal sets to a distance value compare block of the neuro network; (g) the distance value compare block select the minimal one among the computed distances; the characteristic signal set with minimal distance determines the type of the optical disk under question.