بدائل البحث:
guided optimization » model optimization (توسيع البحث)
based optimization » whale optimization (توسيع البحث)
binary based » library based (توسيع البحث), linac based (توسيع البحث), binary mask (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
data based » data used (توسيع البحث)
guided optimization » model optimization (توسيع البحث)
based optimization » whale optimization (توسيع البحث)
binary based » library based (توسيع البحث), linac based (توسيع البحث), binary mask (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
data based » data used (توسيع البحث)
-
21
Friedman average rank sum test results.
منشور في 2025"…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. The experiments are based on 12 medical datasets, and the results show that IRBMO achieves optimal overall performance in key metrics such as fitness value, classification accuracy and specificity. …"
-
22
Parameter settings of the comparison algorithms.
منشور في 2024"…In this paper, we present an improved mountain gazelle optimizer (IMGO) based on the newly proposed mountain gazelle optimizer (MGO) and design a binary version of IMGO (BIMGO) to solve the feature selection problem for medical data. …"
-
23
-
24
Comparisons between ADAM and NADAM optimizers.
منشور في 2025"…EHRL integrates Reinforcement Learning (RL) with Deep Neural Networks (DNNs) to dynamically optimize binary offloading decisions, which in turn obviates the requirement for manually labeled training data and thus avoids the need for solving complex optimization problems repeatedly. …"
-
25
-
26
-
27
-
28
-
29
-
30
-
31
-
32
Medium-scale dataset comparative analysis using the number of features selected.
منشور في 2023الموضوعات: -
33
-
34
Large-scale dataset comparative analysis using the number of features selected.
منشور في 2023الموضوعات: -
35
-
36
-
37
-
38
-
39
-
40