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[½»Á÷] ´ó¼Ò°ïÎÒ¿´¿´Éó¸åÈ˵ÄÒâ¼û£¬ÐèÒª´óÐÞ£¬²»ÖªµÀÏ£Íû´ó²» ÒÑÓÐ4È˲ÎÓë

Dear Dr. Feng,

Thank you for submitting your paper to Mechanical Systems and Signal Processing

I have considered the comments of the reviewers sen to me directly.

A.  Concerning the classification, these were
==========================================
1) From the visual inspection of Fig.5 it follows that the first two
principal components are not the best features for classification,
because it is possible to obtain a reliable classifier making use of a
single component only.


2) Structure of discussed neural network is not appropriate. The size
(cardinality) of the training data set should be significantly greater
than the number of unknown parameters (coefficients) in neural network.
Unfortunately in discussed example the training set consist of 200
examples only and the number of unknown neural network coefficients is
equal to (13+1)*15+(15+1)*1 = 226.


3) It is recommended to use ISO units for physical quantities. The force
units [gf] should be replaced with [N] or [mN].

============================================================


B.  Concerning the basic method these were
=========================================

Why are the specific features chosen? Have they any physical interpretation, relating them to the bonding quality?If not than this is somewhat a case history, and probably many other features (maybe based directly on the signal) could be invented
Also the design of filters, Hilbert method etc are well known many of the details are not needed, the method alone is required.
================================================
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Simon Braun
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Mechanical Systems and Signal Processing
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[ Last edited by ·ëÊ麽190511 on 2010-6-10 at 19:56 ]
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