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

This book introduces new soft computing techniques for system modeling, pattern classification, and image processing. It explores probabilistic neural networks, including a novel approach for handling regression and classification in dynamic environments. The text also covers soft computing methods for image compression, such as vector quantization, and analyzes various recursive least square techniques for neural network learning, alongside hardware implementations using systolic technology. The book integrates diverse disciplines from soft computing science and engineering to present key concepts for creating human-friendly technology in our modern information society.