Intelligent Information Processing Technology

Author: Wang Yaonan (Editor)
Publisher:
Publish Date: 2003-08-01
Features: This book systematically introduces the fundamental theories and various new processing techniques of intelligent information processing from the perspective of information science. The book is divided into ten chapters, covering topics such as the emergence and development of intelligent information processing, fuzzy sets and fuzzy logic, fuzzy information processing, neural network information processing, fuzzy neural network information processing, basic methods of evolutionary computation, information processing using evolutionary computation, chaotic information processing, fractal information processing, and practical applications of intelligent information processing technologies. The book incorporates the latest research findings in computational intelligence and information processing from both domestic and international sources, integrating the author's teaching experiences and research achievements over the past few years. The material is fresh, rich in content, and emphasizes the combination of theory and practice. The explanations are clear and concise, aiming to help students quickly grasp and apply this advanced technology. This book can serve as a textbook and reference for graduate students or senior undergraduate students in fields such as automation, computer applications, artificial intelligence, image processing and pattern recognition, intelligent control and information processing, electronic engineering, mechanical engineering, and systems engineering. It is also suitable for engineering technicians and scientific researchers in related fields.