Patricia Melin Ordre des livres

Focusing on type-3 fuzzy logic, this book explores its application in time series prediction, emphasizing its superiority in managing uncertainty for enhanced results. It integrates neural networks and fractal theory, presenting various hybrid intelligent methods tested on real-world prediction challenges such as COVID-19 and stock market trends. Aimed at scientists and engineers, it serves as a comprehensive reference for graduate courses in soft computing and related fields, while also inspiring new research avenues in intelligent prediction methodologies.

This monograph describes new methods for intelligent pattern recognition using soft computing techniques including neural networks, fuzzy logic, and genetic algorithms. Hybrid intelligent systems that combine several soft computing techniques are needed due to the complexity of pattern recognition problems. Hybrid intelligent systems can have different architectures, which have an impact on the efficiency and accuracy of pattern recognition systems, to achieve the ultimate goal of pattern recognition. This book also shows results of the application of hybrid intelligent systems to real-world problems of face, fingerprint, and voice recognition. This monograph is intended to be a major reference for scientists and engineers applying new computational and mathematical tools to intelligent pattern recognition and can be also used as a textbook for graduate courses in soft computing, intelligent pattern recognition, computer vision, or applied artificial intelligence.