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The reason is that intelligent optimization algorithms is a kind of random search algorithms,
carry out of algorithms of every time possibly lead to entirely different experimental results.
And the model has the problems that appear labeling polarization,so this effect last performance.
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Èç¹û100: ½ð±Ò+15, ·­ÒëEPI+1, ¡ï¡ï¡ï¡ï¡ï×î¼Ñ´ð°¸ 2015-05-11 18:14:26
Owing to the intelligent optimization algorithm is a random search algorithm.There may be entirely different results after every execution.
Whereas, This model have marked bias disadvantages which may affect the final performances.
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