Prediction of the Mechanical Characteristic of Bamboo Using Deep Neural Network

The prediction of the mechanical characteristics of bio-based materials, which are indispensable in engineering-related applications, are restrained by numerous natural-occurring and environmental factors. The aim of this study is to use artificial intelligence (AI) technology to estimate with a high level of accuracy the mechanical characteristics of bamboo materials for use in construction based on their inherent physical characteristics. The biological-inspired technique of deep neural network (DNN) was considered as the specific technology in the major sub-fields of AI and the Adam optimizer was selected as optimization function in the proposed algorithm. The model was trained and conceptualized to predict the mechanical properties of bamboo materials in construction by considering extensive datasets based on the condition assessment and physical properties of the materials in context. A dataset consisting of a total of 600 entries was considered for this study. The proposed model in this study, which is still in its developmental stage, has revealed glimpses of the powerful ability of the DNN model to predict the mechanical characteristics of bio-based materials such as bamboo.