Название: Artificial Neural Networks for System Identification and Control
Автор: Serhat Seker, Tahir Cetin Akinci, Alfredo A. Martinez‐Morales
Издательство: CRC Press
Год: 2026
Страниц: 115
Язык: английский
Формат: pdf (true), epub
Размер: 28.8 MB
In an age where intelligent systems are transforming engineering practice, Artificial Neural Networks for System Identification and Control offers a clear roadmap to mastering Artificial Intelligence (AI)‑driven modeling and control. From mathematical neuron models to adaptive Artificial Neural Network (ANN)‑based controllers, this book combines theory, algorithms, and hands‑on coding to help readers design and analyze intelligent systems. Rich with visual examples and real‑world case studies, it demonstrates how neural networks outperform traditional control methods in handling nonlinearity, uncertainty, and dynamic system behavior. Artificial Neural Networks (ANNs) have transformed the landscape of system identification and control, offering unparalleled capabilities in handling nonlinear systems, optimizing performance, and adapting to various operational conditions. This book, Artificial Neural Networks for System Identification and Control, aims to provide a comprehensive understanding of the theoretical foundations, mathematical models, and practical applications of ANNs in these critical areas. The Python scripts utilize widely used libraries like NumPy for numerical computations, Matplotlib for visualization, and Scikit-learn for constructing and training neural networks.
Название: Стрелковое оружие России. Новые модели 
