Description
Advances in Artificial Neural Networks provides an in-depth examination of the latest developments and innovations in neural network technology. This hardcover edition, published by InTech in 2018, explores the theoretical foundations and practical applications of artificial neural networks in modern computational systems.
The book addresses key topics including network architecture improvements, training methodologies, and real-world implementations across various industries. Authored by Noguchi S., this comprehensive resource is designed for researchers, academics, and professionals seeking to understand the current state of neural network technology and its potential future directions.
Suitable for advanced students and practitioners in computer science, engineering, and artificial intelligence, this publication serves as both a reference guide and a learning resource for those looking to deepen their knowledge of how neural networks are advancing computational intelligence and solving complex problems in the modern era.







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