Brain Tumor Detection and Classification Using IFF-FLICM Segmentation and Optimized ELM Model

Table 3

Pseudocode: MHS-SCA for weight optimization of the ELM model.

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Pseudocode

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(1) Input: Initializing particles (ELM weights) randomly

(2) Input: Initialize the MHS parameters , , ,

(3) Output: Calculation of error

(4) %Program loop

(5) For i = 1 : n

(6) “%” Weight updation with PAR

(7)  

(8)  % Obtain new optimization with 1-PAR

(9)  

(10)  If

(11)   Choose the weight vector value as

(12)  end

(13)  If

(14)   Choose the weight vector value as

(15)  end

(16)  Select the maximum weights of both as

(17)  Choose the best weight until the convergence criterion is satisfied % calculate mean square error

(18)   

(19) End for the loop i

(20) Continue the procedure till convergence is satisfied, else repeat step 4 to step 19

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