Algorithm Research & Explore
|
App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 2
470-472

Study on chessboard configuration data calibration

Ding Menga,b
Zhang Yipenga,b
Li Shuqina,b
a. School of Computer, b. Joint Laboratory of Sensing & Computational Intelligence, Beijing Information Science & Technology University, Beijing 100101, China
DOI: 10.19734/j.issn.1001-3695.2018.08.0544

Abstract

Supervised training based on deep learning relies on a high-quality dataset consisting of a large amount of manually calibrated samples, however, many non-popular computer games are facing the problem of lacking human-game records as training samples. Therefore, how to generate a reasonably calibrated dataset of configuration data before using deep learning has significant value. This paper proposed a data hashing and de-emphasis, and a configuration calibrated method for the dots and boxes game. According to the characteristics of configuration data at different stages, the proposed method made use of full alpha-beta search, back-tracing search, parallel MCTS algorithm as well as symmetric flip extension to collect massive configuration data as training dataset. Experiment generated 15 million samples in total as the dataset to drive the supervised training model based on deep learning. In addition, the proposed method also provides valuable reference for the acquisition of training data of other chess games.

Foundation Support

国家自然科学基金资助项目(61502039)
2017年度教育教学改革研究专项招标课题(2017JGZB08)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.08.0544
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 2
Section: Algorithm Research & Explore
Pages: 470-472
Serial Number: 1001-3695(2020)02-032-0470-03

Publish History

[2020-02-05] Printed Article

Cite This Article

丁濛, 张亦鹏, 李淑琴. 棋盘局面数据标定方法研究 [J]. 计算机应用研究, 2020, 37 (2): 470-472. (Ding Meng, Zhang Yipeng, Li Shuqin. Study on chessboard configuration data calibration [J]. Application Research of Computers, 2020, 37 (2): 470-472. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)