Special Issue: Computer Networks and Distributed Computing

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Asynchronous Heterogeneous Mechanism for Hyper-Distributed Hyper-Parallel Al Processing

SHUAI Dianxun;   

  1. Department of Computer Science; East-China University of Science and Technology Shanghai 200237; P.R. China; State Key Laboratory of Intelligence and System; Tsinghua University; Beijing 100084; P.R. China;
  • Online:1999-05-10 Published:1999-05-10

This paper proposes an asynchronous heterogeneous propagation approach of concurrent competitive waves for hyper-distributed hyper-parallel heuris tic problem-solving. This approach is much more powerful than the synchronous homogeneous mechanisms and the asynchronous superimposition algorithms, and has universal validity and availability. The basic conception, concurrent algorithm and its properties are discussed. The theory and conclusions drawn in this paper are of essential importance for the hardware i…

Key words: computer vision; face and gesture recognition; feature evaluation and selection; Bayesian network;

[1] Shuai D X. Concurrent competitive wave approach to hyper-distributed hyper-parallel AI processing. Journal of Computer Sci.anal Technol., 1997, 11(6): 543-554.

[2] Shuai D X. Asynchronous superimposition of concurrent competitive waves for hyper-distributed hyper-parallel heuristic problem solving. Journal of Computer Sci.and Technol., 1997, 11(4): 330-336.

[3] Shuai D X. Synchronous homogeneous concurrent propagation mechanism of competitive waves for hyper-distributed hyper-paralell AI processing. In Proc. IEEE MFI'96, Washington U.S.A., 1996, pp.312-319. ……….
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[1] Gao Qingshi; Zhang Xiang; Yang Shufan; Chen Shuqing;. Vector Computer 757[J]. , 1986, 1(3): 1 -14 .
[2] Lin Shan;. Using a Student Model to Improve Explanation in an ITS[J]. , 1992, 7(1): 92 -96 .
[3] Xu Meirui; Liu Xiaolin;. A VLSI Algorithm for Calculating the Tree to Tree Distance[J]. , 1993, 8(1): 68 -76 .
[4] Chen Yangjun;. Graph Traversal and Top-Down Evaluation of Logic Queries[J]. , 1998, 13(4): 300 -316 .
[5] Chen Gang;. Dependent Type System with Subtyping (I)Type Level Transitivity Elimination[J]. , 1998, 13(6): 564 -578 .
[6] De-Yi Li, Zhi-Yong Liu and Ke-Qing He. Preface[J]. , 2010, 25(6): 1101 -1102 .
[7] Hossein Ajorloo and Abolfazl Lakdashti. HBIR: Hypercube-Based Image Retrieval[J]. , 2012, 27(1): 147 -162 .
[8] Yue-Hua Wang (王跃华), Student Member, IEEE, Zhong Zhou (周忠), Member, CCF, ACM, IEEE, Ling Liu, Senior Member, IEEE, and Wei Wu (吴威), Member, CCF. Fault Tolerance and Recovery for Group Communication Services in Distributed Networks[J]. , 2012, (2): 298 -312 .
[9] Xu-Zhou Zhang, Yun-Zhan Gong, Ya-Wen Wang, Ying Xing, Ming-Zhe Zhang. Automated String Constraints Solving for Programs Containing String Manipulation Functions[J]. , 2017, 32(6): 1125 -1135 .
[10] Wen-Guang Chen, Xue-Ming Si. Preface[J]. , 2018, 33(3): 531 -532 .

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