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Algorithm Research & Explore
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3666-3669

New algorithm for input weight of single hidden layer neural network

Liu Jinpeng
Tian Dagang
Business School, University of Shanghai for Science & Technology, Shanghai 200093, China

Abstract

This paper proposed a back distribution algorithm for output values, which was to solve the random setting problem about input weights and hidden layer thresholds on traditional extreme learning machine. On the basis of traditional extreme learning machine, the algorithm obtained the optimal output value distribution coefficient through the optimization method, and used the least squares method to determine the network input parameters. Experiments on common data sets show that, the proposed algorithm not only achieves good learning and generalization ability compared with other improved extreme learning machine algorithms, but also can obtain a simple network structure and it is effective.

Foundation Support

沪江基金资助项目(A14006)
国家级项目培养基金资助项目(16HJPY-MS02)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.07.0418
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 12
Section: Algorithm Research & Explore
Pages: 3666-3669
Serial Number: 1001-3695(2019)12-031-3666-04

Publish History

[2019-12-05] Printed Article

Cite This Article

刘金澎, 田大钢. 单隐层神经网络输入权值的新算法 [J]. 计算机应用研究, 2019, 36 (12): 3666-3669. (Liu Jinpeng, Tian Dagang. New algorithm for input weight of single hidden layer neural network [J]. Application Research of Computers, 2019, 36 (12): 3666-3669. )

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.


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