Surrogate Model for Optimum Design of Tribological Components

Wang, Nen-Zi (PI)

Department of Mechanical Engineering

Project: National Science and Technology Council › National Science and Technology Council Academic Grants

Abstract

研究計畫應用神經網路模型於磨潤元件之最佳化設計，可適用於多種工程及科學領域的最佳化演算，可降低設計複雜模型的時間及成本，並建立未來大數據分析及發展人工智慧的能力。研究成果具有學術價值並可培養國內高性能計算的人才，發展的類神經網路模型電腦程式，適用於工程及科學的多變數及多目標最佳化設計。

Project IDs

Project ID:PB11007-2970
External Project ID:MOST110-2221-E182-036

Status	Finished
Effective start/end date	01/08/21 → 31/07/22

Keywords

Surrogate Model
Artificial Neural Network
Air Bearing
Parallel Computing
Genetic Algorithm
Particle Swarm Optimization
Group Inching Fortification Method

Access Project

https://www.grb.gov.tw/search/planDetail?id=13877246