Multicollinearity Jaccard Indexive Optimized Tuning Deep Belief Network Classification for Ulcer Recognition
Multicollinearity Jaccard Indexive Optimized Tuning Deep Belief Network Classification for Ulcer Recognition |
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| © 2025 by IJETT Journal | ||
| Volume-73 Issue-8 |
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| Year of Publication : 2025 | ||
| Author : S. Bhuvaneswari, M.Sulthan Ibrahim | ||
| DOI : 10.14445/22315381/IJETT-V73I8P118 | ||
How to Cite?
S. Bhuvaneswari, M.Sulthan Ibrahim,"Multicollinearity Jaccard Indexive Optimized Tuning Deep Belief Network Classification for Ulcer Recognition", International Journal of Engineering Trends and Technology, vol. 73, no. 8, pp.214-224, 2025. Crossref, https://doi.org/10.14445/22315381/IJETT-V73I8P118
Abstract
An ulcer refers to a painful sore in the lining of the small intestine. Sometimes, ulcers indicate underlying conditions such as gastrointestinal cancers. A novel Multicollinearity Jaccard Index-Optimised Tuning Deep Belief Network (MJIOTDBN) is developed to enhance ulcer prediction accuracy by efficient classification within minimum time consumption. Initially, a dataset containing numerous Wireless Capsule Endoscopy (WCE) images was collected in the acquisition phase. A Deep Belief Network (DBN) is a fully connected artificial feed-forward deep learning method comprising two visible layers, input and output layers, and multiple hidden layers. It involves two primary steps. In the layer-by-layer process, each network layer receives weighted input, uses the Multicollinearity Jaccard Index for feature transformation, and passes outputs to subsequent layers. In fine-tuning, error backpropagation algorithms adjust hyperparameters optimally using the Nesterov Accelerated Gradient descent method to increase the accuracy of ulcer classification. This optimized fine-tuning process enhances the deep neural networks and overall learning efficiency. Contrary to DL, experimental analysis of the MJIOTDBN method improves the accuracy of classification with minimal time.
Keywords
Ulcer detection, WCE Images, Multicollinearity Jaccard Index, Deep Belief Network, Nesterov accelerated gradient descent method.
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