@article{(Open Science Index):https://publications.waset.org/pdf/15589,
	  title     = {The Classification Model for Hard Disk Drive Functional Tests under Sparse Data Conditions},
	  author    = {S. Pattanapairoj and  D. Chetchotsak},
	  country	= {},
	  institution	= {},
	  abstract     = {This paper proposed classification models that would
be used as a proxy for hard disk drive (HDD) functional test equitant
which required approximately more than two weeks to perform the
HDD status classification in either “Pass" or “Fail". These models
were constructed by using committee network which consisted of a
number of single neural networks. This paper also included the
method to solve the problem of sparseness data in failed part, which
was called “enforce learning method". Our results reveal that the
constructed classification models with the proposed method could
perform well in the sparse data conditions and thus the models,
which used a few seconds for HDD classification, could be used to
substitute the HDD functional tests.},
	    journal   = {International Journal of Industrial and Manufacturing Engineering},
	  volume    = {4},
	  number    = {10},
	  year      = {2010},
	  pages     = {948 - 953},
	  ee        = {https://publications.waset.org/pdf/15589},
	  url   	= {https://publications.waset.org/vol/46},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 46, 2010},
	}