This book investigates the application of neural networks to the complex fields of modelling and control systems. It aims to provide a comprehensive overview of how these powerful computational tools can be utilized to understand, predict, and manage dynamic processes across various engineering disciplines. The text likely explores the theoretical underpinnings of neural networks alongside practical implementation strategies, offering insights into their strengths and limitations in real-world applications.

The book is likely regarded as a foundational text for engineers and researchers interested in applying neural networks to control and modelling problems. Its publication date suggests it may offer a historical perspective on the early development and adoption of these techniques in the field. The content is expected to be technical, focusing on the mathematical and algorithmic aspects necessary for practical implementation.