為什麼我太神奇了？

為什麼我太神奇了？

結果 (英文) 1:

Why am I so amazing?

結果 (英文) 2:

In general, the initial is very big for any MH method since it it the convergence of an algorithm and the quality of the final solutions. A to the ters of the oBL strategy, it can be edlet to construct the initial population what's the accelerates the convergence rate.
For example, if consider we the values of the values of the ones are (0.93, 0.33, 0.61, 0.54, 0.28, 0.34, 0.86), then the output of Eq. (11) is represented as 1, 0, 1, 0, 0, 0, 0, 1. This is the representation of the means the features in the dataset who are to one s are selected as the first features and who are to be 0's will be ignored. After selecting feature thes, the fitness function is applied ed to evaluate the performance of the of these features, the fitness function used in our proposed algorithm is defined as in Eq( 12): Errxi is the error of the classification process (i.e. K-N classifier or any class otherifier), Defines the selected features number and Dim s the total features' number. sic is a random value in the interval s0, 1,
that is is used to balance the classifier's terand and the number of the selected features. ...

結果 (英文) 3:

Why am I so amazing?