ANALYSIS OF DEEP LEARNING NEURAL NETWORKS INNOVATIVE TECHNIQUES

ML and AI MODELING TOOLS FOR PERFORMATIVE DESIGN DECISIONS

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The neural network is one of the best computational tools used in the field of soft computing. Neural networks have the properties of mathematical simplicity, high efficiency, and low computational cost. As there are many structural and modeling differences among different neural networks, they all have the common feature of learning. The property of the subjected neural network in the research is to perform three particular tasks: create, move, and attach. During the learning process, the weights of each parameter are modified to reduce the error in training and testing samples. After getting the final shapes, different 3D printing techniques have been checked in order to achieve optimal solutions. I used optimization programming so the final output will have strength and thickness. The project asks: Will the design process change with Artificial Intelligence techniques, and if so, how? How will human designs behave in such an advanced technology environment, and what kind of relationship will these have with future digital technologies?