{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/neural-networks-for-topology-optimization","title":"Neural networks for topology optimization","arxiv_id":"1709.09578","date":"2017-09-27","proceeding":null,"authors":["Ivan Sosnovik","Ivan Oseledets"],"abstract":"In this research, we propose a deep learning based approach for speeding up\nthe topology optimization methods. The problem we seek to solve is the layout\nproblem. The main novelty of this work is to state the problem as an image\nsegmentation task. We leverage the power of deep learning methods as the\nefficient pixel-wise image labeling technique to perform the topology\noptimization. We introduce convolutional encoder-decoder architecture and the\noverall approach of solving the above-described problem with high performance.\nThe conducted experiments demonstrate the significant acceleration of the\noptimization process. The proposed approach has excellent generalization\nproperties. We demonstrate the ability of the application of the proposed model\nto other problems. The successful results, as well as the drawbacks of the\ncurrent method, are discussed.","url_abs":"http://arxiv.org/abs/1709.09578v1","url_pdf":"http://arxiv.org/pdf/1709.09578v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"neural-networks-for-topology-optimization","repo_url":"https://github.com/ISosnovik/nn4topopt","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}},{"paper_slug":"neural-networks-for-topology-optimization","repo_url":"https://github.com/ISosnovik/top","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}},{"paper_slug":"neural-networks-for-topology-optimization","repo_url":"https://github.com/PaddlePaddle/PaddleScience","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"paddle","reach":{"status":"ok","spdx":"Apache-2.0"}}],"tasks":[{"task_slug":"decoder","task_name":"Decoder"},{"task_slug":"deep-learning","task_name":"Deep Learning"},{"task_slug":"image-segmentation","task_name":"Image Segmentation"},{"task_slug":"semantic-segmentation","task_name":"Semantic Segmentation"}],"methods":[],"datasets_introduced":[{"slug":"topology-optimization-dataset","name":"Topology Optimization Dataset","full_name":null}],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1709.09578","atlas_url":"https://app.syntology.ai/?focus=1709.09578","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}