Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
February 17, 2026
Neural Networks and Rules-based Systems used to Find Rational and
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CSTSDE93YOZ
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
The methods for personal identification and authentication are no exception.
Neural Networks and Rules-based Systems used to Find Rational and
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In today’s software development environment, the necessity for providing quality software products has undoubtedly remained the largest difficulty. As a result, early software bug prediction in the development phase is critical for lowering maintenance costs and improving overall software performance. Clustering is a well-known unsupervised method for data classification and finding related patterns hidden in datasets. However, the k-means algorithm has the tendency to converge to local optima due to its sensitivity to its initial partition and random initialization of clusters centers. On the other hand, Nature-inspired algorithms (NIAs) are known for their general ability to establish global optima while searching around the whole search place. When these algorithms are combined with the K-means clustering mechanism, the novel hybrids are projected to yield outstanding results in terms of enhancing clustering quality by avoiding local optima and uncovering global optima. This study shows that the hybrid clustering of the Coral reefs algorithm outperforms the typical K-means specification in terms of prediction accuracy.
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