Classification of 3D CAD Models considering the Knowledge Recognition Algorithm of Convolutional Neural Network

Author:

Wang Weiwei1ORCID,Sun Dandan2

Affiliation:

1. Teaching Department of Humanities and Basic Courses, Shandong Polytechnic, Jinan 250104, China

2. AI Research and Development Center, China Telecom Research Institute, Beijing 100032, China

Abstract

In order to improve the classification effect of the 3D CAD model, this paper combines the knowledge recognition algorithm of convolutional neural network to construct the 3D CAD model classification model. Moreover, this paper analyzes the application of the convolutional neural network algorithm in the classification of 3D CAD models, improves the knowledge recognition algorithm, and builds the basic structure of the convolutional neural network. In addition, this paper builds an intelligent recognition model with the support of the improved algorithm, designs experiments to verify the effect of this paper, and draws a visual display statistical graph based on the statistical test results. Through experimental research, it can be known that the 3D CAD classification model based on the knowledge recognition algorithm of convolutional neural network proposed in this paper can effectively improve the classification effect of the CAD model.

Publisher

Hindawi Limited

Subject

General Computer Science

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