Artificial Intelligence-Based Design of Reinforced Concrete Structures : Artificial Neural Networks for Engineering Applications (Woodhead Publishing Series in Civil and Structural Engineering)

個数：

電子版価格
¥42,197

電子版あり

Artificial Intelligence-Based Design of Reinforced Concrete Structures : Artificial Neural Networks for Engineering Applications (Woodhead Publishing Series in Civil and Structural Engineering)

Hong, Won-Kee

ウェブストア価格 ¥50,011（本体¥45,465）
Woodhead Publishing（2023/05発売）
外貨定価 US$ 240.00
ポイント 454pt

提携先の海外書籍取次会社に在庫がございます。通常3週間で発送いたします。
【重要ご説明事項】
1. 納期遅延や、ご入手不能となる場合が若干ございます。
2. 複数冊ご注文の場合は、ご注文数量が揃ってからまとめて発送いたします。
3. 美品のご指定は承りかねます。

●3Dセキュア導入とクレジットカードによるお支払いについて

【入荷遅延について】
世界情勢の影響により、海外からお取り寄せとなる洋書・洋古書の入荷が、表示している標準的な納期よりも遅延する場合がございます。
おそれいりますが、あらかじめご了承くださいますようお願い申し上げます。

◆画像の表紙や帯等は実物とは異なる場合があります。

◆ウェブストアでの洋書販売価格は、弊社店舗等での販売価格とは異なります。
また、洋書販売価格は、ご注文確定時点での日本円価格となります。
ご注文確定後に、同じ洋書の販売価格が変動しても、それは反映されません。

製本 Paperback:紙装版/ペーパーバック版／ページ数 508 p.
言語 ENG
商品コード 9780443152528
DDC分類 624.183410285632

Full Description

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.

1. Autonomous Design of Reinforced Concrete Beams and Columns Based on Artificial Neural Networks
2. Understanding artificial neural networks (ANNs): analogy to the biological neuron model
3. Factors influencing network trainings
4. Forward and backpropagation for artificial neural networks
5. Training methods: designs based on training entire data (TED), parallel training method (PTM), chained training scheme (CTS), and chained training scheme with revised sequence (CRS)
6. Singly reinforced concrete beams based on artificial neural networks
7. Design of Doubly Reinforced Concrete Beams based on Artificial Neural Network
8. Design of reinforced columns based on artificial neural networks

APPENDIX
A. Manual to use MATLAB for training artificial neural networks (ANNs)
B. MATLAB code for Revise Scenario 4 of Table 8.3