Research on Intelligent Optimization and CAD Innovative Design of Interior Space Layout Aided by Neural Network

With the rapid development of artificial intelligence and computer-aided tools, the field of interior design is also undergoing new evolution, and intelligent software has promoted the improvement of efficiency and creativity in interior space design. The decisions of various optimization systems also contribute to the development of indoor spatial layout towards new intelligent distribution. This article uses neural network deep learning algorithms and CAD computer-aided tools to study intelligent optimization and innovative design of indoor spatial layout. Extracting spatial layout feature information of indoor buildings using neural network algorithms. Utilizing supervised learning estimation models of neural networks for data training to achieve intelligent optimization of spatial practicality. A collaborative drawing design method was proposed using CAD computer-aided design. The research results indicate that neural networks and CAD assisted tools also have good innovative design effects in drawing 3D models of indoor spaces.