Skip to main content

Save up to 30% on Elsevier print and eBooks with free shipping. No promo code needed.

Save up to 30% on print and eBooks.

Artificial Intelligence-Based Design of Reinforced Concrete Structures

Artificial Neural Networks for Engineering Applications

  • 1st Edition - April 29, 2023
  • Author: Won-Kee Hong
  • Language: English
  • Paperback ISBN:
    9 7 8 - 0 - 4 4 3 - 1 5 2 5 2 - 8
  • eBook ISBN:
    9 7 8 - 0 - 4 4 3 - 1 5 2 5 3 - 5

Artificial Intelligence-Based Design of Reinforced Concrete Structures: Artificial Neural Networks for Engineering Applications is an essential reference resource for readers w… Read more

Artificial Intelligence-Based Design of Reinforced Concrete Structures

Purchase options

LIMITED OFFER

Save 50% on book bundles

Immediately download your ebook while waiting for your print delivery. No promo code is needed.

Institutional subscription on ScienceDirect

Request a sales quote

Artificial Intelligence-Based Design of Reinforced Concrete Structures: Artificial Neural Networks for Engineering Applications is an essential reference resource for readers who want to learn how to perform artificial intelligence-based structural design. The book describes, in detail, the main concepts of ANNs and their application and use in civil and architectural engineering. It shows how neural networks can be established and implemented depending on the nature of a broad range of diverse engineering problems. The design examples include both civil and architectural engineering solutions, for both structural engineering and concrete structures.

Those who have not had the opportunity to study or implement neural networks before will find this book very easy to follow. It covers the basic network theory and how to formulate and apply neural networks to real-world problems. Plenty of examples based on real engineering problems and solutions are included to help readers better understand important concepts.