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In some cases, 2D QSAR methods can classify the biological activity molecules more efficiently than some more complex 3D QSAR methods [4].
All these methods can classify 31 samples into 4 large groups.
It is therefore of interest to determine whether supervised methods can classify below this limit, and we investigate this question also.
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Therefore, the error back propagation method can classify the tested smell with 99.6% of correct classification by using only a single training data from each source of fire.
Therefore, the error back propagation (BP) method can classify the tested smell with 99.6% of correct classification by using only a single training data from each source of fire.
The preliminary result indicates that this method can classify most of the areas correctly.
For instance, suppose that Emoticons' method can classify only 10% of the sentences in a dataset, corresponding to the actual percentage of sentences with emoticons.
The polarimetric target decomposition method can classify the PolSAR image without the probability distribution of data [2], such as H/ɑ, H/A/ɑ decomposition [3], Pauli decomposition [4], and Krogager decomposition [5].
Third, changes in perfusion due to proangiogenic factors in ischemic tissues can be evaluated and arteriogenic processes can be differentiated from angiogenesis because our method can classify conductance through the macrovasculature.
This method can classify hundreds of genomes in minutes.
The current method was applied to 3 families to see if the method can classify the sequences into these 3 subfamilies: Trypsin, Thrombin and Plasminogen Activator.
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