AI-Based Optimized Design of Structural Frames: With Application to Practical Building Designs
暫譯: 基於AI的結構框架優化設計：應用於實際建築設計

本書介紹了一種基於自動設計的優化方法，用於使用人工神經網絡（ANN）基於拉格朗日方法和遺傳算法（GAs）來設計建築框架，並符合相關的實務規範。書中配有大量彩色圖示和表格。

Won‐Kee Hong is a professor of Architectural Engineering at Kyung Hee University, Republic of Korea. He has more than 35 years of professional experience in structural and construction engineering, having worked for Englekirk and Hart, USA; Nihon Sekkei, Japan; and Samsung Engineering and Construction, Korea. He has published more than 20 international papers in the field of AI-based structural designs including building frames. He is the author of several books including Hybrid Composite Precast Systems (Elsevier), Artificial Intelligence-Based Design of Reinforced Concrete Structures (Elsevier), Artificial Neural Network-based Optimized Design of Reinforced Concrete Structures (CRC Press, Taylor & Francis Group) and Artificial Neural Network-based Prestressed Concrete and Composite Structures (CRC Press, Taylor & Francis Group).

洪源基是韓國京畿大學的建築工程教授。他在結構和施工工程領域擁有超過35年的專業經驗，曾在美國的Englekirk and Hart、日本的Nihon Sekkei以及韓國的Samsung Engineering and Construction工作。他在基於人工智慧的結構設計領域發表了超過20篇國際論文，包括建築框架。他是幾本書的作者，包括混合複合預製系統（Elsevier）、基於人工智慧的鋼筋混凝土結構設計（Elsevier）、基於人工神經網路的鋼筋混凝土結構優化設計（CRC Press, Taylor & Francis Group）以及基於人工神經網路的預應力混凝土和複合結構（CRC Press, Taylor & Francis Group）。