Table 7 Complexity analysis.
From: Adaptive deep SVM for detecting early heart disease among cardiac patients
Algorithm | Complexity |
|---|---|
NGO-AMCCNet36 | \({\text{O[MI + 2 + nn + 3 + Ch + 2]}}\)Here, the term \({\text{MI }}\)represents the maximum iteration, \({\text{nn }}\)signifies the number of population, and \({\text{Ch}}\)depicts the chromosome length |
ROA-AMCCNet37 | \({\text{O[MI + 3 + nn + 1 + Ch + 1]}}\) |
ABOA-AMCCNet38 | \({\text{O[MI + 2 + nn + 2 + Ch + 2]}}\) |
SRO-AMCCNet28 | \({\text{O[MI + 1 + nn + 1 + Ch]}}\) |
EAVSRO-AMCCNet | \({\text{O[MI + nn + Ch]}}\) |
