Granular Neural Networks, Pattern Recognition and Bioinformatics

The book "Granular Neural Networks, Pattern Recognition and Bioinformatics" provides a comprehensive framework for describing the technologies of fuzzy, rough granular neural networks. It explains how these technologies can be used to develop efficient models for pattern recognition and data analysis. A central theme is the formation of granules in the context of fuzzy and rough sets, where the integration of fuzzy and rough information granules based on lower approximate regions allows for precise classification. This helps to manage uncertainties arising from overlapping areas and promotes rapid learning with improved performance. The book covers the essential phases of a pattern recognition system, including classification, clustering, and feature selection, and offers a balanced mix of theory, algorithms, and practical applications. It is aimed at students and professionals in the fields of computer science, electrical engineering, data science, system design, pattern recognition, image analysis, neural computing, social network analysis, big data analytics, computational biology, and soft computing.