TY - CHAP A1 - Ahmad Jobran Al-Mahasneh A2 - Sreenatha Anavatti A3 - Matthew Garratt and Mahardhika Pratama ED1 - Vahid Asadpour Y1 - 2018-11-28 PY - 2018 T1 - Applications of General Regression Neural Networks in Dynamic Systems N2 - This book provides an approach toward the applications and principle theory of digital signal processing in modern intelligent systems, biological engineering, telecommunication, and information technology. Assuming the reader already has prior knowledge of signal processing theory, this book will be useful for finding novel methods that fit special needs in digital signal processing (DSP). The combination of signal processing and intelligent systems in hybrid structures rather than serial or parallel processing provide the best mechanism that is a better fit with the comprehensive nature of human. This book is a practical reference that places the emphasis on principles and applications of DSP in digital systems. It covers a broad area of digital systems and applications of machine learning methods including convolutional neural networks, evolutionary algorithms, adaptive filters, spectral estimation, data compression and functional verification. The level of the book is ideal for professional DSP users and useful for graduate students who are looking for solutions to their design problems. The theoretical principles provide the required base for comprehension of the methods and application of modifications for the special needs of practical projects. BT - Digital Systems SP - Ch. 8 UR - https://doi.org/10.5772/intechopen.80258 DO - 10.5772/intechopen.80258 SN - 978-1-78984-541-9 PB - IntechOpen CY - Rijeka Y2 - 2020-04-06 ER -