New Soft Computing Techniques for System Modeling, Pattern Classification and Image Processing

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.