Artificial Neural Networks and Fuzzy Signal Processing

Author: Tatsuo Tsuburaya
Publisher:
Publish Date: 2003-09-01
Features: This book is one of the "Digital Signal Processing Reference Textbook Series." The series is divided into three parts: the Basic Part, the Advanced Part, and the Application Part. This book belongs to the Application Part. It can be used as a textbook or reference for undergraduate and graduate students in relevant university majors, as well as for technicians and researchers in related fields. The book first introduces an overview of signal processing using artificial neural networks and fuzzy theory. It then presents step-type and interconnected neural networks as typical examples of neural networks, along with their signal processing applications. Additionally, it covers fuzzy inference and fuzzy signal processing. Finally, it demonstrates various application examples of neural networks and fuzzy signal processing, introducing artificial parallel processing models and intelligent signal processing aimed at achieving highly intelligent systems in the future.