Leszek Rutkowski Libros

This book explores the integration of neural networks and fuzzy logic to create adaptive systems capable of handling uncertainty and imprecision. It discusses the theoretical foundations of neuro-fuzzy systems and their applications in various fields, including control systems, data mining, and pattern recognition. The text emphasizes the flexibility of these systems in learning from data and improving performance over time, making it a valuable resource for researchers and practitioners interested in advanced computational intelligence techniques.

Focusing on the integration of interdisciplinary engineering ideas, this volume highlights the concept of soft computing as essential for developing human-friendly technology in the twenty-first century. It showcases the pioneering work of Professor Rutkowski, particularly in probabilistic neural networks, emphasizing Bayesian properties for effective regression and classification in dynamic environments. The book combines theoretical insights with practical applications, marking a significant contribution to the fields of information science and engineering.

Focusing on computational intelligence techniques, this book explores both individual methods and hybrid approaches. It delves into their applications in artificial intelligence, specifically in areas such as speech processing, natural language understanding, and the development of expert systems and robotics. The comprehensive examination of these techniques highlights their significance in advancing AI technologies.

The two-volume set LNAI 9119 and LNAI 9120 constitutes the refereed proceedings of the 14th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2015, held in Zakopane, Poland in June 2015. The 142 revised full papers presented in the volumes, were carefully reviewed and selected from 322 submissions. These proceedings present both traditional artificial intelligence methods and soft computing techniques. The goal is to bring together scientists representing both areas of research. The first volume covers topics as follows neural networks and their applications, fuzzy systems and their applications, evolutionary algorithms and their applications, classification and estimation, computer vision, image and speech analysis and the workshop: large-scale visual recognition and machine learning. The second volume has the focus on the following subjects: data mining, bioinformatics, biometrics and medical applications, concurrent and parallel processing, agent systems, robotics and control, artificial intelligence in modeling and simulation and various problems of artificial intelligence.