Artificial Neural Networks

Discover the fascinating world of artificial intelligence with Artificial Neural Networks by Ivan Nunes da Silva. Published by Springer International Publishing AG in 2016, this hardback edition spans 307 pages and serves as an essential resource for anyone interested in the evolution and application of neural networks.

This insightful book delves into the theoretical foundations of artificial neural networks, exploring their intricate structures and the diverse problems they can address. The first half of the text focuses on key architectures that enable implementation across various application scenarios, making it a valuable guide for researchers and practitioners alike.

Whether you are a student, an academic, or a professional in the field, Artificial Neural Networks will equip you with the knowledge needed to navigate the complexities of this rapidly advancing technology.