Keywords: Glass, Classification
The glass classification is one of the important aspects of providing glass for various applications like the construction industry, office environments, household usage, etc. Most of the glasses tend to be damaged due to a lack of appropriate planning while designing the glass material for any kind of application. In this context, the material used in the preparation of glass items plays a vital role in defining the strength, structure, and quality of the product. Therefore, this work intends to identify and implement a classification analysis of different types of glass materials based on the materials used in the design preparation.
Aim
To Classify Glass Using DL Technique
Objective
Implement an effective classification analysis using Artificial Neural Networks (ANN) to identify and predict the most suitable glass material based on internal composition, contributing to improved strength, structure, and quality in various glass applications like construction, office spaces, and households, thereby enhancing overall product design and performance.
ANN Technique used
Jupyter, Google Collab
โ Preview truncated. The complete document (full chapters, references, diagrams, and appendices) is shared with clients as part of project delivery. โ