Classification of Medical Data Using a Cuckoo Search-Based Hybrid Neural Network
Keywords:
Hybrid Neural Network, Medical Data, Classification, Development, Techniques.Abstract
In this section, we classify four datasets: Dermatology, a small medical dataset, three benchmark datasets, and a training dataset. This research made use of a number of different types of hybrid neuro fuzzy networks, including a cuckoo search based functional link neural fuzzy network (CSFLNFN) and a cuckoo search based multilayered perceptron (CSMLP). Naive Bayes and K-Nearest Neighbor classifiers are used as benchmarks to evaluate these classifiers. We use principal component analysis (PCA) as a feature extraction method to reduce the dimensionality of these datasets, and we evaluate the differences between the two sets of results. In this research, we use three standard datasets and a small medical dataset called Dermatology.
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