Appeal No. 1998-2472 Application No. 08/614,324 ranging, for example, from determining faults and malfunctions in electronic or electromechanical systems" (see Sheppard, column 6, lines 60-64). Thus, Sheppard's tester would clearly apply to defect detection in a disk drive storage device such as Meyer's. Further, Sheppard states (column 8, lines 10-21) that for analyzing test data "[e]xamples of commonly used diagnostic approaches include ... neural networks," among others. Therefore, Sheppard would have suggested to the skilled artisan that neural networks are commonly used for analyzing test data. Accordingly, appellant's argument notwithstanding, it would have been obvious to one of ordinary skill in the art to employ such a commonly used neural network in Meyer's system to analyze the test data "to determine whether a predefined defect exists," as recited in claim 4. Appellant also contends (Brief, pages 16-17) that only appellant teaches diagnosing the type of defect existing in a disk drive. However, claim 4 merely requires determining the existence of a defect, which Meyer clearly does. Therefore, we will affirm the rejection of claim 4 and the claims grouped therewith, claims 7, 8, 17, and 20. Regarding the second group of claims, appellant argues (Brief, page 17) that the references do not teach or suggest a 6Page: Previous 1 2 3 4 5 6 7 8 9 10 11 NextLast modified: November 3, 2007